Zhenzhou Wang1, Kangyang Li1, Xiang Wang1,*, Antonio Lee2
CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4995-5009, 2022, DOI:10.32604/cmc.2022.029650
Abstract Edge detection is one of the core steps of image processing and computer vision. Accurate and fine image edge will make further target detection and semantic segmentation more effective. Holistically-Nested edge detection (HED) edge detection network has been proved to be a deep-learning network with better performance for edge detection. However, it is found that when the HED network is used in overlapping complex multi-edge scenarios for automatic object identification. There will be detected edge incomplete, not smooth and other problems. To solve these problems, an image edge detection algorithm based on improved HED and feature fusion is proposed. On… More >
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