Texture-Based Image Retrieval by Edge Detection Matching GLCM

被引：31

作者：

Zhang, Jing ^{[1
,2
]}

Li, Gui-li ^{[2
]}

He, Seok-wun ^{[1
]}

机构：

[1] Gyeongsang Natl Univ, Jinju, South Korea

[2] Univ Sci & Technol Liaoning, Anshan, Peoples R China

来源：

HPCC 2008: 10TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, PROCEEDINGS | 2008年

关键词：

GLCM; edge detection; CBIR; Prewitt edge detector; Texture;

D O I：

10.1109/HPCC.2008.55

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Content-Based Image Retrieval (CBIR) system is emerging as an important research area, users can search and retrieve images based on their properties such as Shape, color and texture from the image database. Usually; texture-based image retrieval just consider an original image of coarseness, contrast and roughness, actually, there is much textut-e information in the edge image. This paper proposed a novel approach to retrieve images by texture characterization using a composition of edge information and co-occurrence matrix properties. The proposed method gives encouraging results when comparing its retrieval performance to that of the traditional co-occurrence matrices and Yao 's approach[5].

引用

页码：782 / +

页数：2

共 50 条

[21] Fast Content Based Color Image Retrieval System Based on Texture Analysis of Edge Map [J].

Salehian, Hesamoddin ;

Zamani, Fatemeh ;

Jamzad, Mansour .

MATERIAL AND MANUFACTURING TECHNOLOGY II, PTS 1 AND 2, 2012, 341-342 :168-172

[22] Texture Image Retrieval Using Local Binary Edge Patterns [J].

Abdesselam, Abdelhamid .

DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGY AND ITS APPLICATIONS, PT I, 2011, 166 :219-230

[23] Edge Detection Algorithm Based on Texture Blocks [J].

Chiu, Chung-Cheng ;

Chen, Shou-Cih .

2019 IEEE 4TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS 2019), 2019, :253-256

[24] Edge detection techniques in image retrieval: The semantic meaning of edge [J].

Amato, A ;

Di Lecce, V .

PROCEEDINGS EC-VIP-MC 2003, VOLS 1 AND 2, 2003, :143-148

[25] Texture and colour region separation based image retrieval using probability annular histogram and weighted similarity matching scheme [J].

Pradhan, Jitesh ;

Kumar, Sumit ;

Pal, Arup Kumar ;

Banka, Haider .

IET IMAGE PROCESSING, 2020, 14 (07) :1303-1315

[26] On Comparative Performance Analysis of Color, Edge and Texture based Histograms for Content Based Color Image Retrieval [J].

Kaur, Kanwal Preet .

2014 3RD INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS), 2014,

[27] A Content Based Image Retrieval using Color and Texture Features [J].

Varish, Naushad ;

Pal, Arup Kumar .

INTERNATIONAL CONFERENCE ON ADVANCES IN INFORMATION COMMUNICATION TECHNOLOGY & COMPUTING, 2016, 2016,

[28] COMPARING COLOR AND TEXTURE-BASED ALGORITHMS FOR HUMAN SKIN DETECTION [J].

Conci, A. ;

Nunes, E. ;

Pantrigo, J. J. ;

Sanchez, A. .

ICEIS 2008: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL HCI: HUMAN-COMPUTER INTERACTION, 2008, :166-+

[29] Design and implementation of image retrieval system based on block color moments and GLCM [J].

Wang, Zhi-hui ;

Ge, Xiao-li ;

Xu, Wen-bo ;

Fan, Yue-jiao ;

So, Qi-la ;

Li, Jin-lin ;

Ge, Xiao-Li .

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND INFORMATION SYSTEMS, 2016, 52 :331-337

[30] Texture based Markovian modelling for image retrieval [J].

Benboudjema, D. ;

Precioso, F. .

MULTIMEDIA ON MOBILE DEVICES 2011 AND MULTIMEDIA CONTENT ACCESS: ALGORITHMS AND SYSTEMS V, 2011, 7881

← 1 2 3 4 5 →