Research on underwater image edge detection method based on improved Canny and gray scale moment
Aiming at the problem of poor contrast and blurring of underwater images,resulting in discontinuities and pseudo-edges in the detected edges,an improved underwater image edge detection method based on Canny and subpixel was proposed.The improved Canny algorithm was used to detect the pixel-level edges of underwater images,and the sub-pixel edge features of the images were extracted by using gray-scale moments on this basis to improve the localization accuracy and detection rate of edges.The experimental results showed that the proposed algorithm had greater advantages over the traditional pixel-level edge detection algorithm in the extraction of edge contours,reduction of pseudo-edges,and improvement of edge accuracy,especially for the detection of edges of objects with single light source and poor image contrast in deep sea environment with more significant effect and localization accuracy.
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