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
  • [41] Content-Based Image Retrieval Using DNA Transcription and Translation
    Pradhan, Jitesh
    Bhaya, Chiranjeev
    Pal, Arup Kumar
    Dhuriya, Arpit
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2023, 22 (01) : 128 - 142
  • [42] Framework for Content-Based Image Identification with Standardized Multiview Features
    Das, Rik
    Thepade, Sudeep
    Ghosh, Saurav
    ETRI JOURNAL, 2016, 38 (01) : 174 - 184
  • [43] Improved Content-Based Image Retrieval with Multivariate Gaussian Distribution
    Naik, B. Ramesh
    Gopal, T. Venu
    SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018, 2019, 758 : 397 - 408
  • [44] A review on visual content-based and users’ tags-based image annotation: methods and techniques
    Mariam Bouchakwa
    Yassine Ayadi
    Ikram Amous
    Multimedia Tools and Applications, 2020, 79 : 21679 - 21741
  • [45] Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection
    Marakakis, Apostolos
    Galatsanos, Nikolaos
    Likas, Aristidis
    Stafylopatis, Andreas
    ARTIFICIAL NEURAL NETWORKS - ICANN 2009, PT I, 2009, 5768 : 942 - +
  • [46] Retrieval and Recognition of faces using Content-Based Image Retrieval (CBIR) and Feature Combination method
    Devi, Ningthoujam Sunita
    Hemachandran, K.
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH, 2016, : 263 - 269
  • [47] Finger Veins Feature Extraction Algorithm Based on Image Processing Methods
    Szymkowski, Maciej
    Saeed, Khalid
    COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT, CISIM 2018, 2018, 11127 : 80 - 91
  • [48] Performance Evaluation of Content-Based Image Retrieval on Feature Optimization and Selection Using Swarm Intelligence
    Jain, Kirti
    Bhadauria, Sarita Singh
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (03) : 245 - 249
  • [49] New non-negative sparse feature learning approach for content-based image retrieval
    Xu, Wangming
    Wu, Shiqian
    Er, Meng Joo
    Zheng, Chaobing
    Qiu, Yimin
    IET IMAGE PROCESSING, 2017, 11 (09) : 724 - 733
  • [50] Content-based image retrieval on mobile devices
    Ahmad, I
    Abdullah, S
    Kiranyaz, S
    Gabbouj, M
    MULTIMEDIA ON MOBILE DEVICES, 2005, 5684 : 255 - 264
12345