Color image segmentation to detect defects on fresh ham

机译：彩色图像分割以检测新鲜火腿上的缺陷

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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.

机译：我们在本文中提出了用于检测新鲜火腿的3维形状上的外观缺陷的颜色分割方法。事实证明，使用颜色直方图是表征健康皮肤的有效方法，但是由于火腿的三维形状，因此必须特别注意选择颜色成分。

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《Sixth International Conference on Quality Control by Artificial Vision May 19-22, 2003 Gatlinburg, Tennessee, USA》|2003年|p.45-50|共6页
会议地点 Gatlinburg TN(US)
作者
Pascale Marty-Mahe; Philippe Loisel; Didier Brossard;
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作者单位

Cemagref Unite de Recherche Technologie des Equipements Agro-alimentaires 17 Avenue de Cucille, CS 64427 35044 Rennes Cedex, France;

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会议组织
原文格式 PDF
正文语种 eng
中图分类工业经济;
关键词
vision; color images; color segmentation; quality control; ham; porc; meat;

机译：视觉;彩色图像;颜色分割;质量控制;火腿;猪肉;肉;

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Color image segmentation to detect defects on fresh ham

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