Silicon material melting process monitoring method based on high-order singular value decomposition
A high-order singular value, melting process technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as inability to accurately and effectively monitor the melting of silicon materials, and achieve the effect of easy implementation and simple monitoring methods
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[0047] Step 1: If figure 1 As shown, a CCD camera is used to collect and store several images of the melting state of the silicon material at the current time t and the previous time, and the images are preprocessed by corresponding cropping and brightness transformation to obtain image data for detecting the melting state of the silicon material.
[0048] Step 2: The image P at the current moment t t and the image at the previous moment {P t-1 ,P t-2 ,...,P t-k} Calculate the dissimilarity d(P t ,P j ), and then passed with the set threshold {δ 1 ,…,δ k} to determine the image sequence at the previous moment for the detection of the melting state change of the silicon material, that is, when d(P t ,P j )≥δ j , the tensor A t Add one to the modulo-3 dimension of the image P j Put it in the corresponding position. Assuming that the size of the image is M×N, and the number of selected images is k, the third-order tensor A t The size of is M×N×k.
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