Genetic Programming for Prediction of Fat Content in Meat Images
نویسندگان
چکیده
In this paper we investigate the feasibility of genetic programming for combining features extracted from meat images to predict fat content. Images of beef meat were acquired and analyzed. Feature sets including fat percentage, fat fleck size distribution and homogeneity measurements were extracted from these images. Using genetic programming we built individual programs which give a prediction of fat content based on these features. Results shows that the proposed method is effective in achieving a very good approximation of the fat percentage measured by chemical analysis.
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