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] Texture feature extraction and description using Gabor wavelet in content-based medical image retrieval
    Zhang, Gang
    Ma, Zong-Min
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 169 - +
  • [42] Automatic text extraction for content-based image indexing
    Jung, K
    Kim, EY
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2004, 3056 : 497 - 507
  • [43] Content-based image retrieval methods and professional image users
    Beaudoin, Joan E.
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 2016, 67 (02) : 350 - 365
  • [44] Motion feature extraction for content-based video sequence retrieval
    Yu, TL
    Zhang, YJ
    INTERNET IMAGING II, 2001, 4311 : 378 - 388
  • [45] Motion feature extraction scheme for content-based video retrieval
    Wu, C
    He, YW
    Zhao, L
    Zhong, YZ
    STORAGE AND RETRIEVAL FOR MEDIA DATABASES 2002, 2002, 4676 : 296 - 305
  • [46] Texture based feature extraction methods for content based medical image retrieval systems
    Ergen, Burhan
    Baykara, Muhammet
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2014, 24 (06) : 3055 - 3062
  • [47] Performance evaluation in content-based image retrieval:: overview and proposals
    Müller, H
    Müller, W
    Squire, DM
    Marchand-Maillet, S
    Pun, T
    PATTERN RECOGNITION LETTERS, 2001, 22 (05) : 593 - 601
  • [48] Probabilistic feature relevance learning for content-based image retrieval
    Peng, Jing
    Bhanu, Bir
    Qing, Shan
    Computer Vision and Image Understanding, 1999, 75 (01): : 150 - 164
  • [49] Content-Based Image Retrieval by Dictionary of Local Feature Descriptors
    Najgebauer, Patryk
    Nowak, Tomasz
    Romanowski, Jakub
    Gabryel, Marcin
    Korytkowski, Marcin
    Scherer, Rafal
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 498 - 503
  • [50] Performance of a compact feature vector in content-based image retrieval
    Das, Gita
    Ray, Sid
    VISAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOLUME IU/MTSV, 2007, : 241 - +
12345