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Global and Local Oriented Edge Magnitude Patterns for Texture Classification

文献类型：期刊论文

作者Dong, Jun1,2,3,4; Yuan, Xue5; Xiong, Fanlun1
刊名INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
出版日期2017-03-01
卷号31期号:3页码:1-13
关键词Texture Classification Local Binary Pattern Histogram Of Gradient Rotation Invariant
DOI10.1142/S0218001417500070
文献子类Article
英文摘要In this paper, we propose a gray-scale texture descriptor, name the global and local oriented edge magnitude patterns (GLOEMP), for texture classification. GLOEMP is a framework, which is able to effectively combine local texture, global structure information and contrast of texture images. In GLOEMP, the principal orientation is determined by Histogram of Gradient (HOG) feature, then each direction is respectively shown in detail by a local binary patterns (LBP) occurrence histogram. Due to the fact that GLOEMP characterizes image information across different directions, it contains very abundant information. The global-level rotation compensation method is proposed, which shifts the principal orientation of the HOG to the first position, thus allowing GLOEMP to be robust to rotations. In addition, gradient magnitudes are used as weights to add to the histogram, making GLOEMP robust to lighting variances as well, and it also possesses a strong ability to express edge information. The experimental results obtained from the representative databases demonstrate that the proposed GLOEMP framework is capable of achieving significant improvement, in some cases reaching classification accuracy of 10% higher than over the traditional rotation invariant LBP method.
WOS关键词FACE RECOGNITION ; BINARY PATTERNS ; HISTOGRAM
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000395115500002
资助机构Natural Science Foundation of Jiangsu Province(BK20131090) ; Natural Science Foundation of Jiangsu Province(BK20131090) ; Natural Science Foundation of Jiangsu Province(BK20131090) ; Natural Science Foundation of Jiangsu Province(BK20131090) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; National Natural Science Foundation of China(61301186) ; National Natural Science Foundation of China(61301186) ; National Natural Science Foundation of China(61301186) ; National Natural Science Foundation of China(61301186) ; Natural Science Foundation of Jiangsu Province(BK20131090) ; Natural Science Foundation of Jiangsu Province(BK20131090) ; Natural Science Foundation of Jiangsu Province(BK20131090) ; Natural Science Foundation of Jiangsu Province(BK20131090) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; Six talent peaks project in Jiangsu Province(2011-wlw-005) ; National Natural Science Foundation of China(61301186) ; National Natural Science Foundation of China(61301186) ; National Natural Science Foundation of China(61301186) ; National Natural Science Foundation of China(61301186)
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/32931]  
专题合肥物质科学研究院_中科院合肥智能机械研究所
作者单位1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China
2.Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
3.Wuxi Zhongke Intelligent Agr Dev Co Ltd, Wuxi 21000, Peoples R China
4.Jiangsu R&D Ctr Internet Things, Wuxi 21000, Peoples R China
5.Beijing Jiaotong Univ, Sch Elect & Informat Engn, 3 Shang Yuan Cun, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Dong, Jun,Yuan, Xue,Xiong, Fanlun. Global and Local Oriented Edge Magnitude Patterns for Texture Classification[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2017,31(3):1-13.
APA Dong, Jun,Yuan, Xue,&Xiong, Fanlun.(2017).Global and Local Oriented Edge Magnitude Patterns for Texture Classification.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,31(3),1-13.
MLA Dong, Jun,et al."Global and Local Oriented Edge Magnitude Patterns for Texture Classification".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 31.3(2017):1-13.

入库方式： OAI收割

来源：合肥物质科学研究院

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