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Proceedings Paper

Marbling classification of lambs carcasses with the artificial neural image analysis
Author(s): A. Przybylak; P. Ślósarz; P. Boniecki; K. Koszela; M. Zaborowicz; K. Przybył; D. Wojcieszak; R. Szulc; A. Ludwiczak; K. Górna
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Paper 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.

Paper Details

Date Published: 6 July 2015
PDF: 5 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963113 (6 July 2015); doi: 10.1117/12.2197027
Show Author Affiliations
A. Przybylak, Poznan Univ. of Life Sciences (Poland)
P. Ślósarz, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
K. Koszela, Poznan Univ. of Life Sciences (Poland)
M. Zaborowicz, Poznan Univ. of Life Sciences (Poland)
K. Przybył, Poznan Univ. of Life Sciences (Poland)
D. Wojcieszak, Poznan Univ. of Life Sciences (Poland)
R. Szulc, Institute of Technology and Life Sciences (Poland)
A. Ludwiczak, Poznan Univ. of Life Sciences (Poland)
K. Górna, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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