MACHINE VISION ON-LINE DETECTION QUALITY OF SOFT CAPSULES BASE ON SVM

被引：0
|
作者：
Ge, Fucai [2 ]
Shi, Jiyong [1 ]
Xu, Youyi [2 ]
Zou, Xiaobo [1 ]
Zhao, Jiewen [1 ]
机构：
[1] Jiangsu Univ, Agr Prod Proc & Storage Lab, 301 Xuefu Rd, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Jiangsu Univ, Electromechinery Gen Works Co Ltd, Zhenjiang 212013, Jiangsu, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 2 | 2009年 / 295卷
基金：
国家高技术研究发展计划(863计划);
关键词：
Soft Capsules; Machine Vision; On-line Grading;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
Nowadays the quality inspect of soft capsules is mainly by manual. Despite the intensive of this work, the accuracy of inspection by manual is very low. This paper proposed soft capsules online sorting system based on machine vision. The inspection process are following: (1) soft capsules were placed on rollers are rotating while moving. The image of each soft capsule was grabbed. (2) automatic threshold based on ostu was used to segmentation capsule image from background, and morphological filter was used to eliminate noise and regional markings. (3) 4 features were extracted which were perimeter, area, girth, altitude diameter and latitude diameter. Support Vector Machine (SVM) and was used to analyze these features. 15460 soft capsules were tested by the online sorting system. The overall grading accuracy was up to 94.1%. Furthermore, the grading speed of the sorting line resches10 capsules per second.
引用
收藏
页码：1369 / +
页数：2
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