Nickel Plate Surface Defect Detection Base on Machine Vision
To handle the quality defects on the surface of nickel sheet,a defect detection method combining adaptive fractional differentiation and improved Canny algorithm is proposed.Bilateral filtering is used to denoise and preserve the edge of the image.A gradient-enhancing mask is designed and integrated into Sobel to form a double-layer convolution kernel,enhancing defect edges gradient and weakening the gradient inside the defect and in the background area.The watershed algorithm is applied to replace the non-maximum suppression and the morphological edge connection algorithm for edge refinement.The experimental results show that the detection effect of the proposed algorithm on nickel plate defects is better than the classical algorithm and some other improved algorithms.
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