文献类型： 外文期刊
作者： Huang, Wenqian 1 ; Zhang, Chi 2 ; Zhang, Baihai 1 ;
作者机构： 1.Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
关键词： defect identification;Gabor wavelet;SVM;apple quality grading
期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT III
ISSN： 1868-4238
年卷期： 2012 年 370 卷
页码：
收录情况： SCI
摘要： In this paper, a novel method to recognize defect regions of apples based on Gabor wavelet transformation and SVM using machine vision is proposed. The method starts with background removal and object segmentation by threshold. Texture features are extracted from each segmented object by using Gabor wavelet transform, and these features are introduced to support vector machines (SVM) classifiers. Experimental results exhibit correctly recognized 85% of the defect regions of apples.
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