Marbling classification of lambs carcasses with the artificial neural image analysis

A. Przybylak; P. Ślósarz; P. Boniecki; K. Koszela; K. Przybył; D. Wojcieszak; R. Szulc; A. Ludwiczak; K. Górna

doi:10.1117/12.2197027

6 July 2015 Marbling classification of lambs carcasses with the artificial neural image analysis

A. Przybylak, P. Ślósarz, P. Boniecki, K. Koszela, K. Przybył, D. Wojcieszak, R. Szulc, A. Ludwiczak, K. Górna

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 963113 (2015) https://doi.org/10.1117/12.2197027
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

This paper describes a part of research, whose goal was to develop an effective method to determine marbling classes of lamb carcasses, with the neural image analysis techniques. Current methods for identifying the degree of intramuscular fat level content are time consuming, require specialized expertise and often rely on subjective assessment based on predefined patterns. In this paper, authors proposes the use of neural model developed as a tool to assist evaluation of marbling.

Citation Download Citation

A. Przybylak, P. Ślósarz, P. Boniecki, K. Koszela, K. Przybył, D. Wojcieszak, R. Szulc, A. Ludwiczak, and K. Górna "Marbling classification of lambs carcasses with the artificial neural image analysis", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963113 (6 July 2015); https://doi.org/10.1117/12.2197027

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