applied sciences  
A Novel Line-Scan Algorithm for Unsynchronised Dynamic Measurements [PERSON]\({}^{\text{\textregistered}}\),[PERSON],*,*\({}^{\text{\textregistered}}\), [PERSON]\({}^{\text{\textregistered}}\), [PERSON]\({}^{\text{\textregistered}}\), [PERSON]\({}^{\text{\textregistered}}\) and [PERSON]\({}^{\text{\textregistered}}\)  
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of each pixel in the detector array. Based on these temperature differences, it is possible to obtain information about the subsurface material properties, since heat dissipation depends not only on the surface but also on the subsurface material properties. Another NDT camera technique is hyperspectral imaging (HSI). In this technique, we record the reflectance intensity of hundreds of narrow wavelength bands for each pixel. This measurement technique allows us to obtain more information about the chemical composition of the scanned object. HSI is commonly used in agriculture [5; 6] (to quantify plant health), forensics [7; 8], drug detection [9; 10], NDT [11; 12] and remote sensing [13]. Most hyperspectral imaging techniques are based on line-scan measurements. Recently, snapshot hyperspectral cameras developed by IMEC [14; 15] have seen a resurgence. These cameras are capable of operating as full area cameras instead of line-scan cameras. An additional NDT method involves employing ultraviolet (UV) cameras. These cameras operate in the ultraviolet region of the electromagnetic spectrum. This UV range includes wavelengths between 100 and 400 nm. An ultraviolet light source is used to illuminate the object, creating fluorescence in the object that can be measured with a detector that is sensitive in the UV range. Typical applications for these cameras are forensics (fingerprint and bodily fluid detection) [16; 17], painting inspection [18], emission monitoring [19] and coating inspection [20]. Compared to light in the visible spectrum, UV light has a larger diffraction limit, making it possible to distinguish smaller objects or defects than when using visible light [21]. In this article, we use a subpart of the UV range, namely the UV-A, spanning from 320 nm to 400 nm. When using camera-based techniques, objects are usually examined from a stationary position, which limits the size and/or resolution of the samples that can be examined. Larger samples require a greater distance between the camera and the sample to examine the entire object. Consequently, the resolution of the captured images is lower in a given area. Small defects may not be visible due to insufficient resolution. For example, in thermography, the rule of thumb is that the diameter of a defect must be at least the area of 3 \(\times\) 3 pixels [22]. Dynamic line thermography (DLST) is often used when inspecting large surfaces or surfaces in a continuous process such as cold-rolled steel fabrication [22]. This technique uses a linear heat source and a thermal imaging camera at a specific distance from that heat source. The object of interest moves relatively in a linear motion using a traverse system or conveyor belt. The resulting images are reconstructed from the sequence of captured images. This reconstruction is called transforming a spatial matrix into a temporal matrix. The spatial matrix is a three-dimensional construct in which raw images from a camera are sequentially stacked along the z-axis. This stacking process occurs as the object moves through the camera's field of view, essentially capturing a spatial progression of the object's movement. Imagine it as layering snapshots in a vertical sequence, where each layer represents the object at a different point in its journey across the camera's view. In contrast, the temporal matrix is derived from the spatial matrix but with a crucial difference: the object remains stationary in the images. This creates a scenario where time is the varying factor, not the position of the object. The images in the temporal matrix represent different moments but from the perspective of the object's fixed location.