Please select the most similar patent number from A, B, C and D. Which number is?
An infrared temperature sensing method employing contour extraction for a target object, a device, and a storage medium. The method comprises: detecting a target object according to an infrared temperature sensing apparatus, and obtaining a temperature distribution bitmap; performing image contour extraction, and obtaining at least two contours from a full-sized infrared image; selecting one pixel from the full-sized infrared image, and determining an innermost contour containing the pixel according to the selected pixel, the innermost contour being a target contour; and acquiring related temperature data of the infrared image within the target contour. In the invention, image contour extraction is performed on the temperature distribution bitmap to obtain the at least two contours, and the innermost contour containing the certain pixel is used as the target contour to prevent a portion of unwanted pixels from being included in the contour or a portion of useful pixels from being excluded outside of the contour, thereby improving the precision of displaying temperature distribution details in infrared temperature sensing.
A: The present invention relates to the technical field of QR codes, and in particular to an recognition method and terminal for a batch of QR codes. The method comprises: extracting all contour data from binarized image data, analyzing all the contour data to obtain an innermost contour corresponding to each piece of contour data, and respectively calculating to obtain centroid coordinates of each innermost contour; respectively calculating distances and angle relationships between the centroid coordinates of each innermost contour and the centroid coordinates of other innermost contours, and dividing the centroid coordinates having equal distances and angles into a same QR code area; and positioning QR codes according to the outermost contour corresponding to the centroid coordinates of the same QR code area. In an recognition process, segmentation and extraction of a plurality of QR codes in a single image are implemented mainly by using positioning point features of the QR codes, so that recognition of the batch of QR codes is implemented.
B: An object rendering method, device, storage medium, and electronic device are provided. The method comprises: obtaining a two-dimensional image obtained by performing image collection on a target object (S202); recognizing a first pixel point set from all pixel points of the two-dimensional image, pixel points in the first pixel point set being points on a contour of the target object (S204); recognizing one or more second pixel point sets in the first pixel point set by means of calling an image processor, each pixel point in the second pixel point set indicating a line segment of the contour of the target object (S206); and respectively connecting each pixel point in the second pixel point set to form line segments of the contour of the target object, and displaying, according to a preset rendering manner, each connected line segment (S208). The method resolves the technical issue of the related art in which computing resource consumption of a CPU of a computer is large when real-time rendering is performed.
C: An image dehazing method and apparatus, a device, and a computer storage medium. The method comprises: when an image dehazing instruction is obtained, acquiring in response to same a color image and an infrared image corresponding to a target scene at the same time point, wherein the image dehazing instruction is triggered when there is haze in the target scene (S101); calculating the haze density information of each pixel point on the basis of the pixel value of each pixel point of the color image and the pixel value of each pixel point of the infrared image, the haze density information describing the distribution of haze density in the target scene (S102); generating an image fusion factor of each pixel point according to the haze density information, the image fusion factor being used for controlling the degree of fusion of the color image and the infrared image (S103); and fusing the color image and the infrared image according to the image fusion factors to obtain a dehazed image (S104).
D: A temperature measurement method, a temperature measurement apparatus, an electronic device and a computer-readable storage medium. The method comprises: acquiring, by means of a visible light camera and a thermal imaging camera, an image frame pair including a target object, wherein the image frame pair comprises a visible light image and an infrared image that are collected at the same moment, and a black body is further arranged in an image collection area of the thermal imaging camera (S202); determining a measured temperature of the target object on the basis of the image frame pair (S204); carrying out black body detection on the infrared image to obtain a detection result of the black body, wherein the detection result comprises position information of the black body in the infrared image (S206); determining a measured temperature of the black body on the basis of the detection result of the black body and the infrared image (S208); and correcting the measured temperature of the target object according to the measured temperature of the black body and a preset temperature of the black body, and taking the corrected temperature as a temperature measurement result of the target object (S210). The accuracy of temperature measurement can be effectively improved.
Answer: D