[1]王昊鹏,冯显英,李丽.基于GLCM皮棉白色异性纤维识别算法[J].深圳大学学报理工版,2012,29(No.4(283-376)):341-346.[doi:10.3724/SP.J.1249.2012.04341]
 WANG Hao-peng,FENG Xian-ying,and LI Li.Recognition algorithm of white foreign fibers in cotton based on gray level co-occurrence matrix[J].Journal of Shenzhen University Science and Engineering,2012,29(No.4(283-376)):341-346.[doi:10.3724/SP.J.1249.2012.04341]
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基于GLCM皮棉白色异性纤维识别算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第29卷
期数:
2012年No.4(283-376)
页码:
341-346
栏目:
电子与信息科学
出版日期:
2012-07-25

文章信息/Info

Title:
Recognition algorithm of white foreign fibers in cotton based on gray level co-occurrence matrix
文章编号:
20120411
作者:
王昊鹏12 冯显英1 李丽1
1)山东大学高效洁净机械制造教育部重点实验室,机械工程学院,济南 250061;
2)山东省经济管理干部学院计算机系,济南 250061
Author(s):
WANG Hao-peng12 FENG Xian-ying1 and LI Li1
1) Key Laboratory of High Efficiency and Clean Mechanical Manufacture Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, P.R.China
2) Department of Computer, Shandong Economic Management Institute, Jinan 250014, P.R.China
关键词:
异性纤维棉花图像分割纹理灰度共生矩阵
Keywords:
foreign fibers cotton image segmentation texture gray level co-occurrence matrix entropy
分类号:
TP 391.4
DOI:
10.3724/SP.J.1249.2012.04341
文献标志码:
A
摘要:
通过对皮棉与白色异性纤维图像的纹理特征分析,发现灰度共生矩阵的熵可用来有效判别皮棉中是否含有白色异性纤维.根据皮棉和白色异性纤维的灰度值特点,对灰度级进行不等距分段压缩,提出基于纹理特征的阀值分割法,采用熵阀值法分割皮棉中的白色异性纤维.实验结果表明,不等距压缩灰度级方法可有效减少计算时间,并能同时保证判别的精确度,此算法能有效提高皮棉中白色异性纤维识别的速度和精度.
Abstract:
The recognition of white foreign fibers in lint has always been a difficulty in cotton detection. Because the gray values of white foreign fibers are approximate to lint, it is very difficult to recognize white foreign fibers just by gray value. Through the texture feature analysis of lint and white foreign fibers, it was found that the entropy of gray level co-occurrence matrix (GLCM) could be used to judge whether there were white foreign fibers in lint. According to the gray value characteristics of lint and white foreign fibers, this paper compressed the gray level piecewise and nonuniformly. Thus, the threshold segmentation method based on texture features was put forward, and white foreign fibers were recognized from lint by means of the entropy threshold segmentation method. Results showed that compressing the gray level piecewise and non-uniformly could effectively reduce the computing time and guarantee the accuracy of recognition at the same time, and this algorithm can effectively improve the speed and precision of white foreign fibers recognition.

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备注/Memo

备注/Memo:
基金项目:科技支疆专项计划资助项目(2011AB017);济南“泉城学者”建设工程资助项目(201109)
作者简介:王昊鹏(1981-),男(汉族),山东省济南市人,山东大学博士研究生. E-mail:whp-whp-whp@163.com
引文:王昊鹏,冯显英,李丽. 基于GLCM皮棉白色异性纤维识别算法[J]. 深圳大学学报理工版,2012,29(4):341-346.
Received:2011-12-07;Revised:2012-06-07;Accepted:2012-06-10
Foundation:Science and Technology Supporting Xinjiang Special Plan(2011AB017); “Quancheng Scholars”Construction Projects of Jinan(201109)
Corresponding author:Professor FENG Xian-ying. E-mail:fxying@sdu.edu.cn
Citation:WANG Hao-peng, FENG Xian-ying, LI Li. Recognition algorithm of white foreign fibers in cotton based on gray level co-occurrence matrix[J]. Journal of Shenzhen University Science and Engineering, 2012, 29(4): 341-346.(in Chinese)
更新日期/Last Update: 2012-07-29