Integrated color, texture and shape information for content-based image retrieval

被引：24
|
作者：
Choras, Ryszard S. [1 ]
Andrysiak, Tomasz [1 ]
Choras, Michal [1 ]
机构：
[1] UT&LS, Inst Telecommun, Image Process Grp, Bydgoszcz Kaliskiego 7, PL-85976 Bydgoszcz, Poland
来源：
PATTERN ANALYSIS AND APPLICATIONS | 2007年 / 10卷 / 04期
关键词：
image retrieval; computer vision; feature extraction; Zernike moments; texture analysis;
D O I：
10.1007/s10044-007-0071-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Feature extraction and the use of the features as query terms are crucial problems in content-based image retrieval (CBIR) systems. The main focus in this paper is on integrated color, texture and shape extraction methods for CBIR. We have developed original CBIR methodology that uses Gabor filtration for determining the number of regions of interest (ROIs), in which fast and effective feature extraction is performed. In the ROIs extracted, texture features based on thresholded Gabor features, color features based on histograms, color moments in YUV space, and shape features based on Zernike moments are then calculated. The features presented proved to be efficient in determining similarity between images. Our system was tested on postage stamp images and Corel photo libraries and can be used in CBIR applications such as postal services.
引用
收藏
页码：333 / 343
页数：11
相关论文
共 50 条
  • [1] Integrated color, texture and shape information for content-based image retrieval
    Ryszard S. Choraś
    Tomasz Andrysiak
    Michał Choraś
    Pattern Analysis and Applications, 2007, 10 : 333 - 343
  • [2] Content-based retrieval using color, texture, and shape information
    Choras, RS
    PROGRESS IN PATTERN RECOGNITION, SPEECH AND IMAGE ANALYSIS, 2003, 2905 : 619 - 626
  • [3] Content-Based Image Retrieval Using Texture Color Shape and Region
    Shirazi, Syed Hamad
    Umar, Arif Iqbal
    Naz, Saeeda
    Khan, Noor ul Amin
    Razzak, Muhammad Imran
    AlHaqbani, Bandar
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (01) : 418 - 426
  • [4] Content-Based Image Retrieval Using Color, Shape and Texture Descriptors and Features
    Mutasem K. Alsmadi
    Arabian Journal for Science and Engineering, 2020, 45 : 3317 - 3330
  • [5] Content-Based Image Retrieval Using Color, Shape and Texture Descriptors and Features
    Alsmadi, Mutasem K.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2020, 45 (04) : 3317 - 3330
  • [6] Combining color and shape information for content-based image retrieval on the Internet
    Diplaros, A
    Gevers, T
    Patras, I
    INTERNET IMAGING V, 2004, 5304 : 132 - 141
  • [7] Local features integration for content-based image retrieval based on color, texture, and shape
    Mona Ghahremani
    Hamid Ghadiri
    Mohammad Hamghalam
    Multimedia Tools and Applications, 2021, 80 : 28245 - 28263
  • [8] Color texture moments for content-based image retrieval
    Yu, H
    Li, MJ
    Zhang, HJ
    Feng, JF
    2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS, 2002, : 929 - 932
  • [9] Local features integration for content-based image retrieval based on color, texture, and shape
    Ghahremani, Mona
    Ghadiri, Hamid
    Hamghalam, Mohammad
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (18) : 28245 - 28263
  • [10] A new content-based image retrieval technique using color and texture information
    Wang, Xiang-Yang
    Yang, Hong-Ying
    Li, Dong-Ming
    COMPUTERS & ELECTRICAL ENGINEERING, 2013, 39 (03) : 746 - 761
12345