一种提取局部区域共同向量的瑕疵分类算法

doi:10.3969/j.issn.1001-2400.2011.05.010

J4 ›› 2011, Vol. 38 ›› Issue (5): 59-64.doi: 10.3969/j.issn.1001-2400.2011.05.010

一种提取局部区域共同向量的瑕疵分类算法

李益红;卢朝阳;李静;崔玲玲

(西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071)

收稿日期:2010-10-26 出版日期:2011-10-20 发布日期:2012-01-14
通讯作者: 李益红
作者简介:李益红(1979-)，男，讲师，西安电子科技大学博士研究生，E-mail: sbuwlxa@126.com
基金资助:
国家自然科学基金资助项目(60872141);陕西省自然科学基础研究计划资助项目(2009JQ8019);综合业务网理论及关键技术国家重点实验室基金资助项目(ISN090302);西安电子科技大学基础科研业务费资助项目(K50510010007)

Algorithm for extraction of the local region common vector for defect classification

LI Yihong;LU Zhaoyang;LI Jing;CUI Lingling

(State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071， China)

Received:2010-10-26 Online:2011-10-20 Published:2012-01-14
Contact: LI Yihong

摘要/Abstract

摘要：

针对同类布匹瑕疵外形和纹理差异性大，异类布匹瑕疵又存在一定的相似性，造成难以分类的问题，提出了选择瑕疵局部区域特征作为特征空间，采用共同向量方法提取布匹瑕疵特征与分类算法．局部区域特征是指瑕疵局部区域灰度直方图特征和瑕疵几何特征．首先通过最优化多通道二维Gabor小波检测出瑕疵区域，然后选择瑕疵局部区域灰度直方图统计特征、瑕疵长宽比特征和方向特征|再采用共同向量方法提取瑕疵共同向量特征|最后采用最小距离方法进行分类．该方法具有小样本学习能力、计算量小、识别率高等特点．

关键词: 布匹瑕疵, 直方图, 几何特征, 共同向量, 瑕疵分类

Abstract:

The large differences in texture and shape of the same type cloth and certain similarities between heterogeneous types result in the difficult classification of fabric defects. In this paper, it is proposed to select the fabric defect local region features and use the common vector method to extract features and to do classification. The defect local region features refer to the fabric defect local region gray histogram and geometrical features. First, we detect the fabric defect region by the optimal multiple-channels 2D Gabor wavelet| then select the features of the fabric defect local region gray histogram and geometrical feature (the rate of defect length and width, and the direction feature), and extract the common vector by the common vector algorithm| and finally, use the minimum distance method for defect classification. The algorithm is of small-sample learning, less computational load and high recognition rate.

Key words: fabric defect, histogram, geometrical feature, common vector, defect classification

中图分类号:

TP391

李益红;卢朝阳;李静;崔玲玲. 一种提取局部区域共同向量的瑕疵分类算法[J]. J4, 2011, 38(5): 59-64.

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一种提取局部区域共同向量的瑕疵分类算法

Algorithm for extraction of the local region common vector for defect classification

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