The development of a machine vision system for shiitake grading

被引:24
作者
Chen, HH
Ting, CH
机构
[1] Natl Pingtung Univ Sci & Technol, Dept Food Sci, Pingtung 912, Taiwan
[2] Natl Chiayi Univ, Dept Biomechatron Engn, Chiayi 600, Taiwan
关键词
D O I
10.1111/j.1745-4557.2004.00642.x
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A grading system was developed to classify shiitake automatically into various grades of quality in terms of size, shape and color A shiitake is scanned with a color charge-coupled-device camera and then various geometrical and color characteristics are determined by image processing. The online grading procedure includes the following sequences in processing dried shiitake: (a) color abnormality is eliminated by image analysis; (b) broken caps are detected by calculation of the area-to-perimeter ratio; and (c) size is determined by pixel counting from the bottom view. Image processing and algorithmic manipulations are done on a personal computer (PC) while grading is carried out by a programmable logic controller (PLC). The PLC accepts grading instructions from the PC, hence controls the grading mechanisms. Pilot system validation was done on 250 dried shiitake samples and resulted in a 97.6% accuracy rate. This result is better than that by visual inspection. A complete grading cycle takes 4.8 s, of which the PC unit participates 0.30. 7 s depending on the physical complexity of the shiitake being processed.
引用
收藏
页码:352 / 365
页数:14
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