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Detection of defects on apple using B-spline lighting correction method

文献类型： 外文期刊

作者： Li, Jiangbo 1 ; Huang, Wenqian 1 ; Guo, Zhiming 1 ;

作者机构： 1.Beijing Res Ctr Intelligent Equipment Agr, Beijing, Peoples R China

关键词： machine vision;image processing;defect detection;apples;lighting correction

期刊名称：PIAGENG 2013: IMAGE PROCESSING AND PHOTONICS FOR AGRICULTURAL ENGINEERING

ISSN： 0277-786X

年卷期： 2013 年 8761 卷

页码：

收录情况： SCI

摘要： To effectively extract defective areas in fruits, the uneven intensity distribution that was produced by the lighting system or by part of the vision system in the image must be corrected. A methodology was used to convert non-uniform intensity distribution on spherical objects into a uniform intensity distribution. A basically plane image with the defective area having a lower gray level than this plane was obtained by using proposed algorithms. Then, the defective areas can be easily extracted by a global threshold value. The experimental results with a 94.0% classification rate based on 100 apple images showed that the proposed algorithm was simple and effective. This proposed method can be applied to other spherical fruits.

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