Beef Marbling Image Segmentation Based on Homomorphic Filtering

In order to reduce the influence of uneven illumination and reflect light for beef accurate segmentation, a beef marbling segmentation method based on homomorphic filtering was introduced. Aiming at the beef rib-eye region images in the frequency domain, homomorphic filter was used for enhancing gray, R, G and B 4 chroma images. Then the impact of high frequency /low frequency gain factors on the accuracy of beef marbling segmentation was investigated. Appropriate values of gain factors were determined by the error rate of beef marbling segmentation, and the results of error rate were analyzed comparing to the results without homomorphic filtering. The experimental results show that the error rates of beef marbling segmentation was remarkably reduced with low frequency gain factor of 0.6 and high frequency gain factor of 1.425; Compared with other chroma images, the average error rate (5.38%) of marbling segmentation in G chroma image was lowest; Compared to the result without homomorphic filtering, the average error rate in G chroma image has decreased by 3.73%.