Color image segmentation to detect defects on fresh ham

Pascale Marty-Mahe; Philippe Loisel; Didier Brossard

doi:10.1117/12.514936

1 May 2003 Color image segmentation to detect defects on fresh ham

Pascale Marty-Mahe, Philippe Loisel, Didier Brossard

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.514936
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

Abstract

We present in this paper the color segmentation methods that were used to detect appearance defects on 3 dimensional shape of fresh ham. The use of color histograms turned out to be an efficient solution to characterize the healthy skin, but a special care must be taken to choose the color components because of the 3 dimensional shape of ham.

Citation Download Citation

Pascale Marty-Mahe, Philippe Loisel, and Didier Brossard "Color image segmentation to detect defects on fresh ham", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.514936

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