Detection method of egg shell crack based on image processing

Fei Li; Ning Zhang

doi:10.1117/12.2680958

8 June 2023 Detection method of egg shell crack based on image processing

Fei Li, Ning Zhang

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270714 (2023) https://doi.org/10.1117/12.2680958
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

As eggs are a very important food source in our daily diet, the inspection of egg quality must be strict. In this paper, a detection method based on machine vision image processing is proposed for the detection of eggshell cracks. Through image pre-processing, the images of the three BGR channels are compared, and then the median filtering is used to derive the image information of the R channel that is more favorable for detection. The image is enhanced to find the ROI, and connected region and to perform image segmentation to get the crack information. Finally, a morphological operation is used to extract the feature value of crack length from the image and conclude that the crack in the eggshell is detected by judging the feature value of the image. The experiments show that the accuracy of the OpenCV image processing-based detection method can reach more than 90%, which indicates that the method of detecting eggshells through image processing has unlimited potential.

Citation Download Citation

Fei Li and Ning Zhang "Detection method of egg shell crack based on image processing", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270714 (8 June 2023); https://doi.org/10.1117/12.2680958

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