Morphological algorithms for image processing

被引:0
|
作者
Indian Statistical Institute, Calcutta, India [1 ]
不详 [2 ]
不详 [3 ]
机构
来源
IETE Tech Rev | 2008年 / 1卷 / 9-18期
关键词
Colour image - Image intensities - Image processing algorithm - Morphological algorithms - Morphological operator - Set-theoretic approach - Shape information - Surface reliefs;
D O I
暂无
中图分类号
学科分类号
摘要
Mathematical morphological operators are based on set theoretic approach and are suitable for extracting shape information. Some important operators are dilation, erosion, opening and closing. Image intensity profile may be viewed as a topographical surface, where pixel co-ordinate stands for the location and the intensity for the altitude. Thus, the surface relief and slope represent different types of object features. Hence, morphological tools are found very effective for image processing. In this paper we discuss various image processing algorithms using morphological tools and the results obtained by applying them on both grayscale as well as colour image. Copyright ©2008 by the IETE.
引用
收藏
相关论文
共 50 条
  • [41] Morphological image processing and its parallel implementation
    Sha, H
    Wah, CC
    ICSP '96 - 1996 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II, 1996, : 539 - 542
  • [42] A distributed memory architecture for morphological image processing
    Kishore, AD
    Srinivasan, S
    ITCC 2003: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: COMPUTERS AND COMMUNICATIONS, PROCEEDINGS, 2003, : 536 - 540
  • [43] A Study on Image Processing Using Mathematical Morphological
    Said, Khairul Anuar Mat
    Jambek, Asral Bahari
    2016 3RD INTERNATIONAL CONFERENCE ON ELECTRONIC DESIGN (ICED), 2016, : 507 - 512
  • [44] A NONLOCAL OPERATOR MODEL FOR MORPHOLOGICAL IMAGE PROCESSING
    Sun, Zhonggui
    Gao, Xinbo
    Zhang, Dongmei
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 230 - 234
  • [45] Mapping spatial patterns with morphological image processing
    Vogt, Peter
    Riitters, Kurt H.
    Estreguil, Christine
    Kozak, Jacek
    Wade, Timothy G.
    LANDSCAPE ECOLOGY, 2007, 22 (02) : 171 - 177
  • [46] New morphological operators for color image processing
    Yu, M
    Wang, RD
    Jiang, GY
    Liu, X
    Choi, TY
    TENCON 2004 - 2004 IEEE REGION 10 CONFERENCE, VOLS A-D, PROCEEDINGS: ANALOG AND DIGITAL TECHNIQUES IN ELECTRICAL ENGINEERING, 2004, : A443 - A446
  • [47] Morphological scale-space in image processing
    Bosworth, JH
    Acton, ST
    DIGITAL SIGNAL PROCESSING, 2003, 13 (02) : 338 - 367
  • [48] Optoelectronic pipeline architecture for morphological image processing
    Michael, N
    Arrathoon, R
    APPLIED OPTICS, 1997, 36 (08): : 1718 - 1725
  • [49] APPLICATION OF MORPHOLOGICAL IMAGE-PROCESSING IN AGRICULTURE
    MCDONALD, T
    CHEN, YR
    TRANSACTIONS OF THE ASAE, 1990, 33 (04): : 1345 - 1352
  • [50] MORPHOLOGICAL CONVOLUTION OPERATIONS FOR IMAGE-PROCESSING
    GUPTA, MM
    DEBAETS, B
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING IV, PTS 1-3, 1989, 1199 : 1177 - 1182