A fast defect detection method for orange

Weiqin Huang; Junxiao Lin; Zhenhao Xu; Yikai Gu

doi:10.1117/12.2678639

14 April 2023 A fast defect detection method for orange

Weiqin Huang, Junxiao Lin, Zhenhao Xu, Yikai Gu

Proceedings Volume 12634, International Conference on Optics and Machine Vision (ICOMV 2023); 126340T (2023) https://doi.org/10.1117/12.2678639
Event: International Conference on Optics and Machine Vision (ICOMV 2023), 2023, Changsha, China

Abstract

In this paper, a fast defect detection method for oranges is studied from the perspective of machine vision. Firstly, in order to eliminate the interference of orange stems in defect detection, a shape-based template matching method is used to extract the orange stems region and the average pixels of the image are used to fill the region. Secondly, contrast enhancement and edge extraction are performed on the image with orange stems eliminated, and the background is removed by combining morphological processing and filling techniques to obtain the orange region. Finally, by carrying out channel separation on the orange region image, the OSTU threshold segmentation is performed on its red channel image according to the color characteristics of the orange and its defects, and the extraction and contour fitting of the defects are completed by combining area features. The experiments show that the proposed method can quickly and accurately achieve the defect detection of oranges, and then further provide the core detection technology for some automatic orange sorting.

Citation Download Citation

Weiqin Huang, Junxiao Lin, Zhenhao Xu, and Yikai Gu "A fast defect detection method for orange", Proc. SPIE 12634, International Conference on Optics and Machine Vision (ICOMV 2023), 126340T (14 April 2023); https://doi.org/10.1117/12.2678639

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