An adaptive morphological edge detection algorithm based on image fusion

Edge detection is a core technology in image processing and recognition. Because classical edge detection operators such as Roberts, Sobel and Canny operator are sensitive to noise, and traditional edge detection algorithm based on mathematical morphology is insufficient for complex features, this paper proposes a multi-structure and multi-scale morphological adaptive algorithm based on image fusion that can reasonably consider noise reduction and preserve the detailed edge information. Finally, the experiment results indicate that the novel algorithm ensures the continuity, integrity, and accurate location of image edge when being applied to iris recognition and AGVs vision navigation.