Title :
Grading meat quality by texture analysis
Author :
Shiranita, Kazuhiko ; Hayashi, Kenichiro ; Otsubo, Akifumi ; Miyajima, Tsuneharu ; Takiyama, Ryum
Author_Institution :
Ind. Technol. Center of Saga, Japan
fDate :
6/21/1905 12:00:00 AM
Abstract :
We describe a method of determining meat quality using the concepts of “marbling score” and texture analysis. The marbling score is a measure of the distribution density of fat in the rib-eye region. In this system, we consider the marbling of meat as a texture pattern. We use a gray level cooccurrence matrix as a texture feature and make standard texture-feature vectors for each grade using it. The grade of an unevaluated image is determined by comparing the texture-feature vector of this unevaluated image with the standard texture-feature vectors. Experimental results show that the system is effective
Keywords :
feature extraction; gray level cooccurrence matrix; marbling score; meat quality grading; texture analysis; texture feature; texture pattern; texture-feature vector; texture-feature vectors; unevaluated image; Agriculture; Density measurement; Image analysis; Image texture analysis; Inspection; Muscles; Performance analysis; Refrigeration; Statistics; Temperature;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.825392