Research on Colour and Texture Feature Based Image Retrieval

被引:2
作者
Sun Lijuan [1 ]
Hu Fengqi [2 ]
机构
[1] Kaifeng Vocat Coll Culture & Arts, Kaifeng 475000, Henan, Peoples R China
[2] Hydrol & Water Resources Survey Bur Kaifeng Henan, Kaifeng 475000, Henan, Peoples R China
来源
2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS) | 2016年
关键词
Image Retrieval; Color istogram; Gray co-occurrence matrix; Normalization Algorithm;
D O I
10.1109/ICITBS.2015.159
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper focuses on the content-based image retrieval technique, and mainly from the perspective of image color, texture feature extraction and feature matching, explores: 1 using a variety of improved color histogram and gray level co-occurrence matrix based on the retrieval means, so as to lessen the shortage of information space of the traditional color feature extraction and to improve the efficiency of the retrieval system; 2 the relations between information of different feature, hence proposing the normalized algorithm of internal and external features to integrate different retrieval methods effectively.
引用
收藏
页码:626 / 628
页数:3
相关论文
共 9 条
[1]  
Bac Jeffery R., 1996, P SOC PHOTO-OPT INS, V2670, P76
[2]  
Dowe Jomes, 1993, P SPIE STORAGE RERTI, P210
[3]  
Gonzalez R C, 2003, DIGITAL IMAGE PROCES, V2009, P4
[4]  
Gudivada V., 1995, IEEE COMPUTER
[5]  
Huang T S, 1990, J VISUAL COMMUNICATI, P1
[6]  
NIBLACK W, 1993, P SOC PHOTO-OPT INS, V1908, P173
[7]   Photobook: Content-based manipulation of image databases [J].
Pentland, A ;
Picard, RW ;
Sclaroff, S .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 1996, 18 (03) :233-254
[8]  
RUI Y, 1997, P IEEE INT C IM PROC, V2, P815
[9]   Comparison and improvement of color-based image retrieval techniques [J].
Zhang, YJ ;
Liu, ZW ;
He, Y .
STORAGE AND RETRIEVAL FOR IMAGE AND VIDEO DATABASES VI, 1997, 3312 :371-382