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.

引用

页码：E415 / E417

页数：3

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