Image Retrieval Method Based on Back-Projection

被引：0
|
作者：
Arai, Kohei [1 ]
机构：
[1] Saga Univ, Dept Informat Sci, Saga, Japan
来源：
ADVANCES IN COMPUTER VISION, VOL 2 | 2020年 / 944卷
关键词：
Image retrieval; Image matching; Histogram matching;
D O I：
10.1007/978-3-030-17798-0_54
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image retrieval method based on back-projection with histogram matching is proposed. The distance measures are compared among correlation, Chi-square, intersection, and Bhattacharrya. Through preliminary experiment, it is found that the most appropriate distance measures are Chi-Square or Bhattacharrya, which depends on the nature of the images in concern though. Also it is found that image retrievals with back-projection does works almost 100% in terms of success ratio.
引用
收藏
页码：689 / 698
页数：10
相关论文
共 50 条
  • [31] A image retrieval method using TFIDF based weighting scheme
    Suzuki, Yu
    Mitsukawa, Masahiro
    Kawagoe, Kyoji
    DEXA 2008: 19TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2008, : 112 - +
  • [32] An Image Retrieval method based on Local Features of Interest Points
    Fu, Xiang
    Wang, Jun-ting
    Zeng, Jie-xian
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 3789 - 3793
  • [33] Research and Implement the Image Retrieval Method Based on the Shape Feature
    Guo Xiao-juan
    Wang Quan-rui
    Li Chang-jiang
    Liang Yun-juan
    ADVANCED MEASUREMENT AND TEST, PTS 1-3, 2011, 301-303 : 1048 - 1051
  • [34] Image Retrieval Method Based On Composite Texture Feature Representation
    Zhang Xiaobo
    Peng Jinye
    Liu Tian
    Li Chenyu
    2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS (ICCCAS 2018), 2018, : 392 - 398
  • [35] Ensemble Retrieval Method for Texture Image Based on Wavelet Transform
    Li, Aiguo
    Shao, Junbo
    INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 : 274 - 279
  • [36] Research and Implement the Image Retrieval Method Based on the Color Feature
    Guo Xiao-juan
    Cheng Ji-fu
    Gao Guo-hong
    Zhu Yan-li
    2010 INTERNATIONAL CONFERENCE ON THE DEVELOPMENT OF EDUCATIONAL SCIENCE AND COMPUTER TECHNOLOGY, 2010, : 373 - 377
  • [37] Image Retrieval Method Based on Semantic Concepts and Feature Weighting
    Zhao, Jiandong
    Kui, Lu
    Xin, Jin
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING APPLICATIONS (CSEA 2015), 2015, : 299 - 303
  • [38] Weighted Lightweight Image Retrieval Method Based on Linear Regression
    Zhang, Lina
    Zheng, Xiangqin
    Dang, Xuan
    Zhang, Jiehui
    VERIFICATION AND EVALUATION OF COMPUTER AND COMMUNICATION SYSTEMS, VECOS 2020, 2020, 12519 : 268 - 280
  • [39] Zero-shot Hashing with orthogonal projection for image retrieval
    Zhang, Haofeng
    Long, Yang
    Shao, Ling
    PATTERN RECOGNITION LETTERS, 2019, 117 : 201 - 209
  • [40] Manifold information through neighbor embedding projection for image retrieval
    Leticio, Gustavo Rosseto
    Kawai, Vinicius Sato
    Valem, Lucas Pascotti
    Pedronette, Daniel Carlos Guimaraes
    Torres, Ricardo da S.
    PATTERN RECOGNITION LETTERS, 2024, 183 : 17 - 25
12345