| Citation: | FANG Y M，SHI Z Y，SONG H X. Detection method for complex dark spots on plastic gears based on U-Net++ and feature fusion[J]. Journal of Beijing University of Aeronautics and Astronautics，2025，51（9）：3020-3029 （in Chinese） doi: 10.13700/j.bh.1001-5965.2023.0418
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Traditional defect detection algorithms exhibit poor performance in accurately detecting complex dark spots on the surface of plastic gears. There are three primary issues: firstly, inaccurately distinguishing the size and position of dark spots on the gear edge; secondly, a high rate of missed detection for light dark spots; thirdly, a tendency to misjudge the point gate as dark spots. This paper proposed an improved detection method for complex dark spots on plastic gears based on U-Net++ and feature fusion. The dark spot area was predicted through U-Net++ and corrected depending on gradient features. Multi-feature fusion analysis was utilized to provide the final judgment result, thus improving the accuracy and stability of complex dark spot detection. The test results demonstrate that the
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