When using the Sobel operator in conjunction with traditional erosion and dilation for edge detection,there is a potential issue of over-eroding edge images.This paper proposes a method for edge detection that combines the Sobel operator with enhanced erosion and dilation to ad-dress this issue.The improved erosion and dilation algorithm includes a parameter that can be adjusted to control the strength of dilation and erosion,thus preventing excessive erosion and dilation of edge images.This method is implemented on the ZYNQ platform in conjunction with the Sobel operator and the improved morphological algorithm for edge detection.Test results indicate that utilizing the im-proved erosion and dilation algorithm for secondary optimization of edge images obtained through the Sobel operator not only effectively removes noise and smoothens edges but also better preserves edge pixel information.
维普
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