Affiliation:
1. 1 Corvinus University of Budapest Department of Physics and Control 14-16 Somloi str H-1118 Budapest Hungary
2. 2 Corvinus University of Budapest Dept. of Refrigeration and Livestocks’ Products Technology 44 Menesi str H-1118 Budapest Hungary
Abstract
The fat content (fat distribution) of the pork and beef raw material is one of their most important quality characteristics. Image processing methods were applied to provide with quantitative parameters related to these properties. Different hardware tools were tested to select the appropriate imaging alternative. Statistical analysis of the RGB data was performed in order to find appropriate classification function for segmentation. Discriminant analysis of the RGB data of selected image regions (fat-meat-background) resulted in a good segmentation of the fat regions. Classification function was applied on the RGB images of the samples, to identify and measure the regions in question. The fat-meat ratio and textural parameters (entropy, contrast, etc.) were determined. Comparison of the image parameters with the sensory evaluation results showed an encouraging correlation.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Environmental Engineering
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