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  • 标题:Morphological Residues and a General Framework for Image Filtering and Segmentation
  • 本地全文:下载
  • 作者:Neucimar J. Leite ; Sílvio J. F. Guimarães
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2001
  • 卷号:2001
  • 期号:4
  • 页码:219-229
  • DOI:10.1155/S111086570100035X
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    Morphological residues represent an image in an hierarchical way by means of a decomposition of its structures and according to a size parameter λ . From this decomposition, we can obtain a relation between the different residual levels associated with the complexity of the image structures. In this work, we introduce a new method to filter out components of gray-scale images based on the morphological residue decomposition which takes into account a size parameter and a certain level of complexity of the different structures to be filtered. As we will illustrate, this complexity is associated with a set of new attributes of the image defined according to the information contained in its multi-resolution representation.

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