An Improved Algorithm Based on Color Feature Extraction for Image Retrieval

被引：0

作者：

Li, Mengzhe ^{[1
]}

Jiang, Xiuhua ^{[1
]}

机构：

[1] Commun Univ China, Sch Informat Engn, Beijing, Peoples R China

来源：

2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2 | 2016年

关键词：

image retrieval; color feature; color space; retrieval accuracy;

D O I：

10.1109/IHMSC.2016.166

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the rapid development of computer vision and digital technology, producing the vast amounts of image data, how to realize a rapid, easy and high effective algorithm of image retrieval has been the issue of study, just so the main goal of this paper is to implement an effective improved algorithm based on color feature. There are two main types of algorithm based on color feature: global algorithm and local color algorithm, including RGB, HSV color space and so on. This improved algorithm fully considers the global and local color information, fusing the fuzzy color histogram and block color histogram, decreasing the color feature dimension. This paper compares uniform HSV histogram, non-uniform quantization HSV histogram, fuzzy HSV histogram, block color moment, the improved color feature in image database COREL1000. According to the analysis of experiment results based on the precision of first N terms, the improved algorithm has the best retrieval accuracy and low feature dimension.

引用

页码：281 / 285

页数：5

共 11 条

[1]

Abhayaratne Charith, 2008, 5th International Conference on Visual Information Engineering, VIE 2008, P164, DOI 10.1049/cp:20080302

[2]

[Anonymous], 1983, Signals and Systems

[3]

Dharani T., 2013, Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME), P485, DOI 10.1109/ICPRIME.2013.6496719

[4]

Gasteratos, 2002, OPT COMMUN, V212, P247

[5] A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants [J].

Karakasis, Evangelos G. ;

Papakostas, George A. ;

Koulouriotis, Dimitrios E. ;

Tourassis, Vassilios D. .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (02) :596-611

[6] Colour histogram content-based image retrieval and hardware implementation [J].

Kotoulas, L ;

Andreadis, I .

IEE PROCEEDINGS-CIRCUITS DEVICES AND SYSTEMS, 2003, 150 (05) :387-393

[7] Content-Based Image Retrieval with HSV Color Space and Texture Features [J].

Ma, Ji-quan .

WISM: 2009 INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND MINING, PROCEEDINGS, 2009, :61-63

[8]

Shrivastava P, 2015, 2015 INTERNATIONAL CONFERENCE ON ENERGY SYSTEMS AND APPLICATIONS, P1, DOI 10.1109/ICESA.2015.7503303

[9] An Efficient Content Based Image Retrieval System based on Color Space Approach Using Color Histogram and Color Correlogram [J].

Soni, Devyani ;

Mathai, K. J. .

2015 FIFTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT2015), 2015, :488-492

[10]

Wang CR, 2008, 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, P2243, DOI 10.1109/ICAL.2008.4636538

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