Patent Description:
It is known to provide personal care devices with the ability or functionality to capture digital impressions (e.g. images) of a feature or part of a user during use. For example, Intra-Oral Scanner (IOS) devices use projected light (e.g. laser or structured light) and an image sensor to capture images of the dentogingival tissues. These images can be processed to create a three-dimensional (3D) model of the scanned surface. Data provided by IOS can therefore be useful for oral care, including the detection of common dental pathologies such as caries, tooth discoloration, misalignment. Also, it may be advantageous to capture and compare repeated IOS images, to enable identification of changes in dentogingival tissues over time for example.

Because personal care devices, such as electric brushing or shaving devices, are used on a regular (e.g. daily) basis, they may provide a suitable vehicle to regularly capture images of a user. Accordingly, there is trend to integrate cameras or imaging sensors into personal care devices, such as toothbrushes for example. However, because a main usage characteristic of a personal care device may be its vibration or cyclical/periodic movement, images acquired by a camera integrated with a personal care device are typically distorted and/or blurred by the movement/vibration of the device.

Although image stabilization techniques are known for portable handheld devices (e.g. smart phone, digital photo cameras, etc.), such techniques are only designed and optimized for low frequency (e.g. <<NUM>), erratic (e.g. non-periodic, random, etc.) user-induced motions. Because a personal care device (such as a toothbrush) typically moves or vibrates at a much higher periodic frequency (e.g. ><NUM>-<NUM>), there remains a need to stabilize the image capture process and/or make the image acquisition process robust to device movements/vibrations generated by a personal care device.

<CIT> disclsoes a method for obtaining one or more oral images using an imaging device or system which includes: (i) obtaining, using an imager, an oral image; (ii) extracting, by a controller, one or more features from the oral image, wherein the extracted one or more features comprises at least an image quality feature and an object recognition feature; (iii) determining, by a decision module of the controller, whether the one or more extracted features satisfy a predetermined feature threshold; (iv) providing feedback to a user regarding the obtained oral image if the one or more extracted features does not satisfy the predetermined feature threshold, or authorizing transmission of the oral image to a dental professional if the one or more extracted features satisfy the predetermined feature threshold; and (v) transmitting, if transmission is authorized, the obtained oral image to a dental professional.

According to examples in accordance with an aspect of the invention, there is provided a method of processing captured images from a personal care device, wherein the personal care device comprises: a camera configured, in use, to capture images of one or more features of a user; and vibratory means adapted to vibrate the personal care device so that, in use, the personal care device (and the camera) vibrates, and wherein the method comprises:.

Proposed concepts thus aim to provide schemes, solutions, concepts, designs, methods and systems pertaining to aiding and/or improving image acquisition from a vibratory personal care device having a camera the image of which is influenced by the device vibration. This may either be a camera fixed rigidly to the vibrating device which may then vibrate with the device. Alternatively the camera sensor itself may be situated in a stationary part of a device (e.g. a brush handle) whilst the optical system of the device (like an optical fiber, the imaging lens of the optical system) are subject to the device vibrations. In particular, embodiments of the invention propose identifying image data captured during a target part (e.g. low velocity/motion part) of the vibration cycle based on an assessment of edge quality within the image. Using the identified image data, an image of improved quality may then be constructed. Thus, through adaptation of image data acquisition according to luminance or contrast value, improved images (e.g. images exhibiting less blur and/or distortion) may be constructed/generated. In this way, improved images may be obtained from a vibratory personal care device.

In particular, it is proposed that, to reduce or minimize distortions in images acquired from a camera having an optical path that passes through a vibratory portion of a vibrating personal care device (in use), image data acquisition may be adapted based on the vibration cycle. For instance, image data may be identified for extraction and use based on its edge quality, thus ensuring that only image data captured during a preferred or optimal part of the vibration cycle is used to generate a reconstruction image.

It has been realized that as a vibratory portion of the personal care device changes direction/angle, a period of low or no speed/motion/velocity is present, causing areas of captured images to be clearer and sharper. By detecting image data captured during these periods based on the luminosity or contrast values of the captured image data, image data extraction can be adapted to favor these (e.g. synchronize with) these repeating periods of low speed or low motion. Extracted image data acquired from the periods of low motion can then be used to construct a high quality image (in terms of reduced blur and/or distortion), thus facilitating improved oral/dental care decision making.

In other words, embodiments propose to control the processing of image data from images captured by the camera of a personal care device, wherein the control is based on an edge quality value of the image data. By controlling the processing such that image data is employed only if its edge quality value meets a predetermined requirement, images of improved quality may be generated. Embodiments may therefore facilitate stable and high-quality image acquisition during tooth brushing. Such embodiments may be particularly relevant to teledentistry propositions, for example, by enabling improved imaging of a user's tooth, gum, tongue, etc. For instance, images obtained by proposed embodiments may aid dental care treatments and/or decision making. Accordingly, embodiments may be used in relation to dental treatment selection so as support a dental care professional when selecting treatment for a subject.

Further, embodiments may facilitate image-based diagnostics, superior location sensing, therapy planning (e.g. orthodontics, aligners) and/or dental treatment monitoring.

By being integrated into the normal brushing regimen of a user (instead of using separate devices such as smart phones, dental endo-scopes or handheld intraoral scanners), embodiments may support improved dental care. Improved image-based dental care may therefore be provided by proposed concepts.

Embodiments may, however, be applicable to other vibratory personal care devices, such as shavers, skin cleansing devices, and the like.

Embodiments may therefore provide the advantage that decision making in selecting a care treatment can be improved through the use of images captured by a vibratory personal care device. For example, embodiments may enable a larger number of oral care treatment options to be available (e.g. through the provision of more and/or improved information about a subject's oral health).

Some embodiments may, for example, further comprise the preceding steps of: preprocessing the captured image with an image quality assessment algorithm to determine in image quality value; and preventing processing of the captured image with the edge detection algorithm if the determined image quality value does not meet a predetermined quality requirement. In this way, a check that the captured image is of a minimum required quality (e.g. in terms of blur, distortion, contract, or edge quality) before further processing proceeds. Unwarranted or unnecessary processing or resource usage may thus be avoided for low quality, for example. For instance, if the captured images comprises a line of image data with poor/low edge quality, and the one or more adjacent line are then also found to comprise image data with poor/low edge quality second, it may be determined that there is little to no reason to undertake further processing of the image.

Another embodiment may further comprise obtaining, as a reference image, an image captured by the camera. The first predetermined requirement may then require that the edge quality value of the image data of the identified region is greater than an edge quality value of image data of a corresponding region of the reference image. In this way, a starting/initial image may be used for the purpose of reference or comparison. The edge quality of the image data of a region of the captured image may then be easily compared with that of a corresponding region of the reconstruction image. The result of the comparison then enables a determination to be made as to whether or not to extract (i.e. use) the image data of that region of the captured image. Relatively simple and straight-forward image data comparison techniques may therefore be employed by embodiments to control the use of image data from images captured by the camera.

In another example, the first predetermined requirement may require that the edge quality value of the image data of the identified region is greater than a predetermined edge quality threshold value. Comparison with a single value (rather than that of another image) may thus be employed. Simple comparison techniques/algorithms may therefore be employed. Also, use of a single threshold value may support simple and easy alteration of the requirement.

The step of generating the reconstruction image may comprise storing the extracted image data from the identified region in a corresponding region of the reconstruction image.

Also, some embodiments may comprise storing the extracted image data from the identified region in a corresponding region of the reference image. In this way, the reference image may be updated and/or refine with image data having an improved edge quality value. In some embodiments, processing the captured image may comprise:.

The segment of the captured image may, for example, comprise a row or column of the captured image. That is, the image data of the captured image may be deconstructed into segments that correspond to one or more rows or columns. This may reduce a processing burden for example. It is, however, noted that segments may comprise other size, sections and/or shapes of image data of the captured image.

According to yet another aspect of the invention, there is provided a computer program comprising computer program code means which is adapted, when said computer program is run on a personal care device to implement a method according to proposed embodiment.

Although not part of the invention, there may also be provided a computer system comprising: a computer program product according to proposed embodiment; and one or more processors adapted to perform a method according to a proposed concept by execution of the computer-readable program code of said computer program product.

According to another non-claimed aspect of this disclosure, there is provided a system for processing captured images from a personal care device, wherein the personal care device comprises: a camera configured, in use, to capture images of one or more features of a user; and vibratory means adapted to vibrate the personal care device so that, in use, the personal care device (and the camera) vibrates. The system comprises:.

Such a system may be provided as a standalone system for use with one or more personal care devices. Thus, a system according to an embodiment may be employed with a conventional vibratory personal care device to provided improved and/or extended functionality.

According to another aspect of the invention, there is provided a personal care device comprising:.

The personal care device may comprise a toothbrush, and may preferably comprise an electric toothbrush that is adapted to vibrate in use. In other embodiments, the personal care device may comprise a mouthpiece that is adapted to vibrate in use. One or more proposed concept(s) may therefore be employed in a range of different personal care devices. Embodiments may therefore have wide application in the field of personal care devices (and image capture and/or processing concepts for images captured by vibratory personal care devices).

The invention proposes concepts for aiding and/or improving image acquisition from a vibratory personal care device having a camera which vibrates with the device. In particular, embodiments may provide a system, device and/or method which identifies image data captured during a target part (e.g. low velocity/motion part) of the vibration cycle based on edge quality value of the image data. Control of the extraction or further processing of image data from captured images may then be undertaken according to the identified image data. Through such control of the image data acquisition, improved images (e.g. images exhibiting less blur and/or distortion) may be obtained.

In particular, it is proposed that, to reduce or minimize distortions in images acquired from a vibrating personal care device, the acquisition of image data may be adapted according to the vibration cycle of the vibrating personal care device (in use). More specifically, it has been realized that one or more parts of the vibration cycle may be better suited to image capture, for example due to exhibiting reduced motion/movement. It has further been realized that the timing(s) of such a part of the vibration cycle preferred (or optimal) for image capture may be determined based on an edge quality value of captured image data.

Simple assessment of edge quality within captured images may thus be employed to determine preferred, optimal or target image data for use in generating a high quality image exhibiting reduced blur and/or distortion.

In other words, embodiments propose to adapt image data acquisition to the vibration of the personal care device, so as to provide images of improved quality.

Embodiments may therefore facilitate stable and high-quality image acquisition during tooth brushing. Such embodiments may be particularly relevant to teledentistry propositions, for example, by enabling improved imaging of a user's tooth, gum, tongue, etc. For instance, images obtained by proposed embodiments may aid dental care treatments and/or decision making. Accordingly, embodiments may be used in relation to dental treatment selection so as support a dental care professional when selecting treatment for a subject.

Referring to <FIG>, there is shown a simplified schematic block diagram of an electric toothbrush <NUM> according to a proposed embodiment. The electric toothbrush <NUM> comprises vibratory means <NUM> (specifically, a motor) that is adapted, in use, to vibrate a brush head <NUM> of the electric toothbrush <NUM> (with a frequency of about <NUM>).

The electric toothbrush <NUM> also comprises a camera <NUM> (e.g. digital camera) that is adapted, in use, to capture images of one or more oral features of a user.

More specifically, the motor <NUM> is configured to cause the brush head <NUM> to repeatedly rotate clockwise then anti-clockwise by around <NUM>°-<NUM>° from a rest position in a periodic manner. In this way, the brush head <NUM> and also the camera vibrates with a periodic vibration waveform.

By way of further illustration, <FIG> depicts a graph showing an exemplary variation in angle θ (of displacement) and angular velocity of the brush head <NUM> over time as the brush head <NUM> vibrates. The variation in displacement angle θ of the brush head <NUM> is depicted by the solid line, whereas the variation in angular velocity v of the brush head <NUM> is depicted by the dashed line.

It is seen from the variations depicted in <FIG> that 'low speed' periods <NUM>, i.e. time periods wherein the magnitude of angular velocity v of the brush head <NUM> is below a threshold value Vth, can be identified. More specifically, it is seen that, when the magnitude of the displacement angle θ reaches a maximum value, such that the gradient of displacement angle θ variation changes polarity (i.e. when the solid line changes direction), the angular velocity v of the brush head <NUM> is near-zero. It is proposed that these low speed periods <NUM> provide the most appropriate opportunities for image capture using a camera that may have limited speed and exposure tuning capabilities. Accordingly, embodiments are based on the concept(s) that the timing of data acquisition may be adapted according to the vibration cycle of the brush head <NUM>. That is, embodiments propose to adapt image acquisition to the vibration of the personal care device, so as to provide images of improved quality.

Referring back to the embodiment of <FIG>, the electric toothbrush <NUM> comprises a system <NUM> for processing captured images. The system comprises a processor arrangement 18A (that may be at least partially distributed across a cloud processing environment for example) that is configured to process a captured image from the camera with an edge detection algorithm to identify a region of the captured image comprising image data having an edge quality value meeting a first predetermined requirement. The system also comprises an image processor 18B that is to extract image data from the identified region of the captured image and to generate a reconstruction image comprising the extracted image data.

Specifically, the processor arrangement 18A obtains an initial reconstruction (e.g. a reference image or a previously captured images). The processor arrangement 18A then processes a segment of the captured image with the edge detection algorithm to determine an edge quality value of the image data of the segment. The processor arrangement 18A then compares the edge quality value of the image data of the segment with an edge quality value of image data of a corresponding region of the initial reconstruction image. Based on the comparison result, the processor arrangement 18A determines whether or not to identify the segment as a region of the captured image comprising image data having an edge quality value meeting the first predetermined requirement.

For instance, the first predetermined requirement may be that the edge quality value of the image data of the identified region is greater than an edge quality value of image data of a corresponding region of the reference image. If the edge quality value of the image data of the identified region is greater than an edge quality value of image data of a corresponding region of the reference image, the processor arrangement 18A identifies the region as a region of the captured image that meets the first predetermined requirement. In such an instance, the processor arrangement 18A is configured to identify regions of captured images having a higher edge quality value than that of a corresponding region of the reference image. Due to the improved (i.e. higher) edge quality, these regions are inferred to contain image data captured during the low speed periods <NUM> in the vibration cycle. The image processor 18B is then adapted to extract image data from the identified region(s) of the captured image. The system <NUM> is thus adapted to favor or synchronize image data acquisition with the low speed periods <NUM>, thereby reducing an amount of movement in the acquired image data (which may otherwise cause blurring and/or distortion in a captured image).

Accordingly, it is proposed that the edge quality values of a captured image can be analyzed to determine, by comparison with the reconstruction image, a preferred, optimal or target region of image data for acquisition.

Purely by way of example, edges can be detected using a known edge detection algorithms like a kernel array multiplication with defined "edge values" like Prewitt or Sobel filters (detailed below respectively).

For such cases, a histogram of the edges detected and taking the mean and standard deviation may be used for an edge quality indicator (i.e. edge quality value) for the proposed concept(s) of identifying image data captured during periods of low or no speed/velocity in the vibration cycle.

To aid reduction in the exposure duration that is required to capture an adequately exposed image, the camera <NUM> of the embodiment of <FIG> comprises an illumination device <NUM> (e.g. LED) that is configured, in use, to illuminate a part of the user's oral cavity.

Although the embodiment of <FIG> has been described as employing a brush head <NUM> that repeatedly rotates clockwise then anti-clockwise by around <NUM>°-<NUM>° from a rest position in a periodic manner, it will be appreciated that other embodiments may employ a brush head that vibrates in a different manner. For instance, alternative embodiments may comprise a brush head that rotates or that shakes (left and right, or up and down) repeatedly, i.e. repeatedly displaces (laterally or vertically) in opposite directions from a rest position. Such embodiments will still exhibit a cyclical vibration pattern having variations in displacement and velocity over time that form periodic waveforms as depicted in <FIG>, and thus have repeating 'low speed' periods that are identifiable (e.g. via segments of a captured image having higher luminance or contrast).

That is, although the proposed concept(s) have been described above with reference to rotating / angular motion of the vibrating part of the personal care device, the proposed concept(s) may be employed in other vibratory personal care devices exhibiting repetitive vibratory motion.

Also, although the embodiment of <FIG> employs a concept of comparing edge quality values of a captured image with those of another image, other embodiments may employ alternative assessments and/or analysis of the edge quality values. For instance, in some embodiments, the processor arrangement 18A may compare the edge quality values of a captured image with a predetermined edge quality threshold value. This edge quality threshold value may be changed or adapted according to one or more preferences or needs (e.g. image quality requirements, processing speed/resources, etc.). The use of a threshold value may support avoidance of processing of segments which - although better than corresponding segments in the reconstruction image - still exhibit very low quality, for example a very low contrast,.

Referring to <FIG>, there is shown a simplified schematic block diagram of a mouthpiece <NUM> according to another embodiment. The mouthpiece <NUM> is adapted to be inserted into a user's mouth and vibrate (in use) for oral cleaning purposes.

The mouthpiece <NUM> comprises vibratory means <NUM> (specifically, an electric motor) that is adapted, in use, to cause the mouthpiece to vibrate with periodic vibration waveform (having a frequency in the range of <NUM>-<NUM>).

The mouthpiece <NUM> also comprises a camera <NUM> positioned in the tray of the mouthpiece whereby it vibrates with the mouthpiece and adapted, in use, to capture images of one or more oral features of the user. A flash LED <NUM> is also provided in the tray of the mouthpiece for illuminating the oral cavity of the user, in use. The camera <NUM> and LED <NUM> are configured to be controlled by a control unit (i.e. controller) <NUM> of the mouthpiece.

Incorporated with the control unit <NUM> is a system <NUM> for processing captured images from the camera <NUM>. The system <NUM> is configured to identify a region of a captured image comprising image data having an edge quality value meeting a predetermined requirement. The system <NUM> is configured to extract image data from the identified region of the captured image, and to generate a reconstruction image comprising the extracted image data.

As already explained above with reference to the embodiment of <FIG>, the system <NUM> for processing captured images determines regions of captured images that comprise image data captured during a low velocity part of the vibration cycle (e.g. a period of 'low speed/velocity' of the mouthpiece <NUM>, i.e. time period wherein the magnitude of velocity of the mouthpiece <NUM> is below a predetermined threshold value). The system <NUM> then controls image data acquisition so that it processes image data that was captured during the target/preferred part of the vibration cycle (e.g. during periods of 'low speed/velocity' of the mouthpiece <NUM>).

It is noted that, in this embodiment, the camera <NUM> comprises a rolling shutter camera configured to operate at an image capture frame rate. With respect to such a rolling shutter camera, trade-offs in operating characteristics may be required. For example, rolling shutter cameras may be more cost effective (e.g. cheaper) but may take longer for a full image capture depending on the acquisition settings and/or capabilities.

For a rolling shutter camera, the shutter and capture are typically per line, and thus a motion during the capture of all the lines in a captured image will distort the image. However, since an image captured by a rolling shutter camera frame will typically have a high number of lines/rows, a low speed rolling shutter camera will typically still have a fast line/row capturing time. It is proposed that such a line/row capture time will be fast enough to capture sharp, blur free image data during a period of low angular velocity in the vibration cycle. Embodiments therefore propose extracting image data from a captured image that was captured during a preferred/target (e.g. low speed) period of the vibration cycle.

Thus, it will be appreciated that the camera can be free running and out of synchronization with vibration of the personal care device (and thus the image data capture frequency). A full image may then be reconstructed from image data acquired from multiple difference frames of the rolling shutter camera.

For example, <FIG> provides an illustration of extracting image data from captured images according to a proposed embodiment. The illustration shows first <NUM>, second <NUM> and third <NUM> sequentially-captured images from the rolling shutter camera <NUM> of <FIG> (i.e. first to third sequential frames from the rolling shutter camera). The frames comprise first <NUM><NUM> second <NUM><NUM> and third <NUM><NUM> regions, which may e.g. be rows of pixels, which all correspond to the identical segment of the reconstruction image. Here, reference to pixel may encompass a single sensing element of an image sensor or a sensing element (single sensor) of an image sensor array. That is, a pixel may be thought of as being a single element of a sensed image, wherein the sensed image is formed from a plurality of sensed elements (i.e. pixels).

Because the frame rate of the rolling shutter camera differs from the vibration frequency of the personal care device, the first <NUM><NUM> second <NUM><NUM> and third <NUM><NUM> regions are in differing locations within the captured frames of rolling shutter camera. According to the proposed method, the image data of the second <NUM><NUM> region is compared with the first <NUM><NUM> region and subsequently the third <NUM><NUM> region is compared with the second <NUM><NUM> region.

For example, the first captured region may be captured in a relatively fast motion region where for example the edge quality is relatively low. Subsequently the second captured region may be captured in a relatively low motion region where for example the edge quality is relatively high. Subsequently the third captured region may be captured in a zero motion region where for example the edge quality is even higher than the second region.

According to the proposed method, the image data of the second <NUM><NUM> region is extracted and replaces the first <NUM><NUM> region, and subsequently the third <NUM><NUM> regions is extracted and replaces the second <NUM><NUM> region, since, based on their edge quality values, they are identified as being captured during progressively superior, lower velocity period of the vibration cycle.

Similar processing methods are applied to all other segments of the image, whereby finally an image comprising the most optimized segments captured at the lowest motion moments is created.

It will therefore be appreciated that embodiments may be configured to (indirectly) identify periods of low device velocity within the vibration cycle (through the identification of image data having a high edge quality). Image data captured during these identified periods may then be extracted and used to construct a single, reconstructed image of improved image quality. That is, by identifying regions of image data with high edge quality, embodiments may synchronize data extraction with the periods of low angular velocity.

By way of yet further explanation, embodiments may be based on a realization that when low or no speed / motion is present, the edge quality is higher.

A reconstruction time for a fully sharp image may be based on the number of sharp regions per captured image and thus have a direct relation to the camera motion, exposure time and capture speed. In an example, there may be <NUM> sharp lines per frame, where one frame consists of <NUM> lines. If the framerate of the camera is 30fps, a full image may be reconstructed from seven sequentially-captured images, resulting in a <NUM>/<NUM> second reconstruction time.

By way of example, referring now to <FIG>, there is depicted a flow diagram of a method <NUM> of processing captured images from a personal care device according to a proposed embodiment.

For this exemplary embodiment, the personal care device comprises a vibratory means adapted to vibrate the personal care device so that, in use, the personal care device vibrates with a vibration cycle having a vibration. The personal care device also comprises a camera which vibrates with the device, adapted, in use, to capture images of one or more features of a user.

The method <NUM> begins with the initialization <NUM> of a reconstruction image. For instance, the reconstruction image may be initialized with a first raw captured image from the camera (e.g. to enforce initial content).

Next, in step <NUM>, a captured image from the camera image is processed with an image processing algorithm to identify a region of the captured image comprising image data having an edge quality value meeting a predetermined requirement. Specifically, the image processing algorithm compares the edge quality of each line of the captured image with that of a corresponding line of the reconstruction image. A line of the captured that has a better edge quality (i.e. has higher edge quality value) than the corresponding line of the reconstruction image is identified as a region meeting the requirement.

Then, image data is extracted from the identified regions in step <NUM>.

In step <NUM>, a new version of the reconstruction image is generated using the extracted data. Specifically, the extracted data is inserted into the corresponding regions/locations of the reconstruction image. In this way, data of the reconstruction image is replaced with sharp, blur-free image data captured during the 'still' (i.e. low velocity) moments in the vibration cycle, thus generating a new and improved version of the reconstruction image.

As indicated by the arrow labelled "<NUM>", the process of identifying <NUM> one or more regions, extracting <NUM> image data and generating <NUM> a new version of the reconstruction image can be repeated to generate new versions on the reconstruction image.

It will be appreciated that, in the above described embodiment, the reconstruction image acts as a reference image. With a new and improved version of the reconstruction image being generate, the requirement for a line of the captured image to have a better edge quality value may be made more stringent (i.e. more difficult for corresponding lines in subsequent captured image to exhibit a better edge quality). In this way, the reconstruction image may be continually improved and optimized to contain image data of the highest edge quality.

From the above description of various concepts and embodiments, it will be appreciated that there is proposed a method of processing captured images from a personal care device. Such a method may be employed in a processing system or computer, and such a system/computer may be integrated with a vibratory personal care device.

<FIG> illustrates an example of a computer <NUM> within which one or more parts of an embodiment may be employed. Various operations discussed above may utilize the capabilities of the computer <NUM>. For example, one or more parts of a system for providing a subject-specific user interface may be incorporated in any element, module, application, and/or component discussed herein. In this regard, it is to be understood that system functional blocks can run on a single computer or may be distributed over several computers and locations (e.g. connected via internet), such as a cloud-based computing infrastructure.

The computer <NUM> includes, but is not limited to, PCs, workstations, laptops, PDAs, palm devices, servers, storages, and the like. Generally, in terms of hardware architecture, the computer <NUM> may include one or more processors <NUM>, memory <NUM>, and one or more I/O devices <NUM> that are communicatively coupled via a local interface (not shown). The local interface can be, for example but not limited to, one or more buses or other wired or wireless connections, as is known in the art. The local interface may have additional elements, such as controllers, buffers (caches), drivers, repeaters, and receivers, to enable communications. Further, the local interface may include address, control, and/or data connections to enable appropriate communications among the aforementioned components.

The processor <NUM> is a hardware device for executing software that can be stored in the memory <NUM>. The processor <NUM> can be virtually any custom made or commercially available processor, a central processing unit (CPU), a digital signal processor (DSP), or an auxiliary processor among several processors associated with the computer <NUM>, and the processor <NUM> may be a semiconductor based microprocessor (in the form of a microchip) or a microprocessor.

The software in the memory <NUM> may include one or more separate programs, each of which comprises an ordered listing of executable instructions for implementing logical functions. The software in the memory <NUM> includes a suitable operating system (O/S) <NUM>, compiler <NUM>, source code <NUM>, and one or more applications <NUM> in accordance with exemplary embodiments. As illustrated, the application <NUM> comprises numerous functional components for implementing the features and operations of the exemplary embodiments. The application <NUM> of the computer <NUM> may represent various applications, computational units, logic, functional units, processes, operations, virtual entities, and/or modules in accordance with exemplary embodiments, but the application <NUM> is not meant to be a limitation.

If the computer <NUM> is a PC, workstation, intelligent device or the like, the software in the memory <NUM> may further include a basic input output system (BIOS) (omitted for simplicity). The BIOS is a set of essential software routines that initialize and test hardware at startup, start the O/S <NUM>, and support the transfer of data among the hardware devices. The BIOS is stored in some type of read-only-memory, such as ROM, PROM, EPROM, EEPROM or the like, so that the BIOS can be executed when the computer <NUM> is activated.

When the computer <NUM> is in operation, the processor <NUM> is configured to execute software stored within the memory <NUM>, to communicate data to and from the memory <NUM>, and to generally control operations of the computer <NUM> pursuant to the software. The application <NUM> and the O/S <NUM> are read, in whole or in part, by the processor <NUM>, perhaps buffered within the processor <NUM>, and then executed.

The proposed image capture and/or processing methods, may be implemented in hardware or software, or a mixture of both (for example, as firmware running on a hardware device). To the extent that an embodiment is implemented partly or wholly in software, the functional steps illustrated in the process flowcharts may be performed by suitably programmed physical computing devices, such as one or more central processing units (CPUs) or graphics processing units (GPUs). Each process - and its individual component steps as illustrated in the flowcharts - may be performed by the same or different computing devices. According to embodiments, a computer-readable storage medium stores a computer program comprising computer program code configured to cause one or more physical computing devices to carry out an encoding or decoding method as described above when the program is run on the one or more physical computing devices.

Storage media may include volatile and non-volatile computer memory such as RAM, PROM, EPROM, and EEPROM, optical discs (like CD, DVD, BD), magnetic storage media (like hard discs and tapes). Various storage media may be fixed within a computing device or may be transportable, such that the one or more programs stored thereon can be loaded into a processor.

To the extent that an embodiment is implemented partly or wholly in hardware, the blocks shown in the block diagrams of <FIG> and <FIG> may be separate physical components, or logical subdivisions of single physical components, or may be all implemented in an integrated manner in one physical component. The functions of one block shown in the drawings may be divided between multiple components in an implementation, or the functions of multiple blocks shown in the drawings may be combined in single components in an implementation. Hardware components suitable for use in embodiments of the present invention include, but are not limited to, conventional microprocessors, application specific integrated circuits (ASICs), and field-programmable gate arrays (FPGAs). One or more blocks may be implemented as a combination of dedicated hardware to perform some functions and one or more programmed microprocessors and associated circuitry to perform other functions.

If a computer program is discussed above, it may be stored/distributed on a suitable medium, such as an optical storage medium or a solid-state medium supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems.

Claim 1:
A non-therapeutic method of processing captured images from a personal care device (<NUM>), wherein the personal care device comprises: a camera (<NUM>) configured, in use, to capture images of one or more features of a user; and vibratory means (<NUM>) adapted to vibrate the personal care device so that, in use, the personal care device vibrates, and wherein the method comprises:
processing (<NUM>) a captured image from the camera image with an edge detection algorithm to identify a region of the captured image comprising image data having an edge quality value meeting a first predetermined requirement;
extracting (<NUM>) image data from the identified region of the captured image; and generating (<NUM>) a reconstruction image comprising the extracted image data.