Gear edge detection method based on mathematical morphology
                         TU Panpan, HE Yibin, XIONG Wenhao, HU Gaorui,CHEN Yuchen, DAI Qiaosen, LIU Xiang
               （College of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430073, China）

Abstract: Aiming at the problem that the traditional edge detection algorithm has poor antinoise ability in the process of extracting gear edge, the antinoise ability, continuity of edge detection and detail preservation ability of the algorithm in image edge detection were studied. The edge detection algorithm of mathematical morphology was summarized. A method of gear edge detection based on mathematical morphology was proposed, and the images collected were analyzed. The combination of basic morphological operations were used, the sawtooth edge and inner ring of gear were separated and applied to morphological filling and morphological connected domain denoising. Then the edge was extracted by morphological edge detection operator. Finally, the two edges were added together to get the final gear edge detection map. Then salt and pepper was added noise to the collected gear image, and the edge detection test was repeated. The results indicate that the algorithm can detect better gear edges, and has a great improvement in noise resistance, continuity of edge detection and details information preservation.

Key words: gear edge; mathematical morphology; morphological filling; morphological connected domain