A vision-based intelligent inspector for wine production

被引：6

作者：

Wang, Yaonan ^{[1
]}

Zhou, Bowen ^{[1
]}

Zhang, Hui ^{[1
]}

Ge, Ji ^{[1
]}

机构：

[1] Hunan Univ, Dept Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2012年 / 3卷 / 03期

基金：

中国国家自然科学基金; 国家高技术研究发展计划(863计划);

关键词：

Machine vision; Inspector; Inspection region location; Moving objects; Foreign substances recognition;

D O I：

10.1007/s13042-011-0051-y

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A machine-vision-based intelligent inspector is presented. The mechanical structure and electric control system are illustrated in detail. The sub-pixel edge location method is used for confirming the inspection region. The second-difference and energy accumulation method are used for identifying the small moving objects. The algorithms of shape recognition and moving trajectory discrimination are used to extract the foreign substances. A prototype was developed and experimental results demonstrate the feasibility of the inspector. Inspections performed by the prototype have proved the effectiveness and value of proposed algorithms in automatic real-time inspection.

引用

页码：193 / 203

页数：11

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