Overview of Content-based Image Feature Extraction Methods

被引：0
|
作者：
Fan, Lulu [1 ]
Yuan, Zhonghu [1 ]
Han, Xiaowei [1 ]
Hua, Wenwu [1 ]
机构：
[1] Univ Shenyang, Coll Informat Engn, Shenyang, Liaoning Provin, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER, NETWORKS AND COMMUNICATION ENGINEERING (ICCNCE 2013) | 2013年 / 30卷
关键词：
Content-based; Feature Extraction; Image; CLASSIFICATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The technology of Image feature extraction, which is based on the subject of computer vision and image processing, use computer technology to determine the image of the invariant information and extract it to handle the actual problem. Based on the basic principle of image processing, the underlying characteristics of image and semantic feature extraction algorithm were introduced detailed in this paper.
引用
收藏
页码：561 / 564
页数：4
相关论文
共 50 条
  • [11] Content-based image retrieval using feature extraction & statistical pattern recognition techniques for environmental applications
    Theodossi, A. D.
    Tsihrintzis, G. A.
    PROCEEDINGS OF IWSSIP 2008: 15TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING, 2008, : 5 - 8
  • [12] FULLY CONTENT-BASED MOVIE RECOMMENDER SYSTEM WITH FEATURE EXTRACTION USING NEURAL NETWORK
    Chen, Hung-Wei
    Wu, Yi-Leh
    Hor, Maw-Kae
    Tang, Cheng-Yuan
    PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 2, 2017, : 504 - 509
  • [13] Combining Feature Methods for Content-Based Classification of Mammogram Images
    Chikamai, K.
    Viriri, S.
    Tapamo, J-R.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2013, 8 (04) : 499 - 513
  • [14] Design and Implementation of Content-Based Natural Image Retrieval Approach Using Feature Distance
    Arunlal, S. L.
    Santhi, N.
    Ramar, K.
    INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2020, 20 (02)
  • [15] A simultaneous feature adaptation and feature selection method for content-based image retrieval systems
    Rashedi, Esmat
    Nezamabadi-pour, Hossein
    Saryazdi, Saeid
    KNOWLEDGE-BASED SYSTEMS, 2013, 39 : 85 - 94
  • [16] Statistical tree-based feature vector for content-based image retrieval
    Aghav-Palwe, Sushila
    Mishra, Dhirendra
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2020, 21 (04) : 556 - 563
  • [17] A feature level fusion in similarity matching to content-based image retrieval
    Rahman, Mahmudur
    Desai, Bipin C.
    Bhattacharya, Prabir
    2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2006, : 748 - 753
  • [18] Semivariogram Based Feature Extraction for Content Based Image Retrieval
    Rajani, N.
    Murthy, A. Sreenivasa
    2019 INTERNATIONAL CONFERENCE ON INTELLIGENT MEDICINE AND IMAGE PROCESSING (IMIP 2019), 2019, : 58 - 61
  • [19] An overview of content-based three-dimensional model retrieval methods
    Jia, Ji
    Qin, Zheng
    Zhang, Qingchun
    Chen, Junying
    Liu, Yu
    2008 IEEE International Conference on System of Systems Engineering, SoSE 2008, 2008,
  • [20] An Overview of Content-Based Three-dimensional Model Retrieval Methods
    Jia, Ji
    Qin, Zheng
    Zhang, Qingchun
    Chen, Junying
    Liu, Yu
    2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE), 2008, : 217 - +
12345