Application of Parallel Algorithm in Image Processing of Steel Surfaces for Defect Detection
As the industry of steel manufacturing progresses all over the world, application of image processing has also developed in quality control of products. One of the main problems in image processing of steel surfaces in large volume is performing matrix multiplication. In this paper, we will discuss that by using the algorithm of matrix multiplication in parallel for applying filter on the image of steel surfaces, we are able to detect the defects made on them with higher speed and accuracy.
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