Image segmentation and bruise identification on potatoes using a Kohonen's self-organizing map

被引：11
|
作者：
Marique, T [1 ]
Pennincx, S [1 ]
Kharoubi, A [1 ]
机构：
[1] Ctr Agron & Agro Ind Prov Hainaut, CARAH, B-7800 Ath, Belgium
来源：
JOURNAL OF FOOD SCIENCE | 2005年 / 70卷 / 07期
关键词：
potato; bruises; Kohonen; self-organizing map; image analysis;
D O I：
10.1111/j.1365-2621.2005.tb11469.x
中图分类号：
TS2 [食品工业];
学科分类号：
0832 ;
摘要：
Potato quality includes a low incidence of colored bruises resulting from bad storage or manipulation practices. We developed a procedure to process and segment potato images by using Kohonen's self-organizing map. Anomalous regions could be distinguished on 3 potato varieties. Bruises that were very dissimilar in appearance were correctly identified, and some particular defects such as green spots could be located As well.
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页码：E415 / E417
页数：3
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