Study on Image Retrieval Method Based on Color and Location

被引:0
|
作者
Ji, Laitang [1 ]
chen, Tianhuang [1 ]
机构
[1] Wuhan Univ Technol, Coll Comp Sci & Technol, Wuhan 430070, Peoples R China
来源
AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4 | 2012年 / 468-471卷
关键词
Image retrieval; Color histogram; LBS;
D O I
10.4028/www.scientific.net/AMR.468-47l.2473
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In content-based image retrieval technology,color has been widely used as a kind of important image visual information. Compared with the geometrical character of image, color has certain stability and strong robustness to zoom, parallel move and rotate. Currently there are a lot of image retrieval technologies which own their own limitations. This paper puts forward an image retrieval method based on color and location,which is available for mobile platform. This paper adopts a histogram method in color characteristics and uses block color method to solve the color space distribution. Combined with the location-based service(LBS), this method can effectively improve the performance of image retrieval on the mobile platform.
引用
收藏
页码:2473 / 2477
页数:5
相关论文
共 50 条
  • [22] GAUSSIAN MIXTURE MODEL BASED APPROACH TO COLOR IMAGE RETRIEVAL
    Luszkiewicz, Maria
    Smolka, Bogdan
    PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING, 2007, : 527 - +
  • [23] Image retrieval based on color features integrated with anisotropic directionality
    Bai, Jing
    Wang, Xiaohua
    Jiao, Licheng
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2010, 21 (01) : 127 - 133
  • [24] An image retrieval system based on the color, areas, and perimeters of objects
    Wang, CL
    Hwang, RH
    Chan, YK
    Chen, CY
    Cheng, CC
    FUNDAMENTA INFORMATICAE, 2006, 69 (03) : 319 - 330
  • [25] A content-based image retrieval method using region based color histograms
    Kim, Dong-Woo
    Kwon, Dong-Jin
    Kwak, Nae-Joung
    Ahn, Jae-Hyeong
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 158 - 165
  • [26] A Method Using Texture and Color Feature for Content-Based Image Retrieval
    Zhang, He
    Jiang, Xiuhua
    2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2015, : 122 - 127
  • [27] Image retrieval method based on fusion of edge features and RGB color component
    Yu, Xiaoyang
    Liu, Shuang
    Dong, Wenfei
    Yu, Shuchun
    International Journal of Multimedia and Ubiquitous Engineering, 2014, 9 (10): : 243 - 250
  • [28] Thangka Image Retrieval Method Based on Sub-block Dominant Color
    Gao, Wanpin
    Shen, Wentao
    Wang, Weilan
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING 2015 (ICMMCCE 2015), 2015, 39 : 525 - 531
  • [29] Evaluation on Color Spaces and Distance Measures for Color Histogram-based Image Retrieval
    Zhao, Xin
    Chen, Youbin
    INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011), 2011, 8285
  • [30] Image retrieval system based on color-complexity and color-spatial features
    Chan, YK
    Chen, CY
    JOURNAL OF SYSTEMS AND SOFTWARE, 2004, 71 (1-2) : 65 - 70