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Morphological image segmentation by local monotonicity

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2 Author(s)
J. H. Bosworth ; Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA ; S. T. Acton

Image segmentation is fundamental task in image processing and multimedia. We propose a general method for image segmentation based upon the relationship between mathematical morphology and the local monotonicity of signals. In this paper, we introduce a two-dimensional generalization of the concept of local monotonicity based on mathematical morphology. A multiscale representation of an image is morphologically generated, wherein the degree of local monotonicity determines scale. Then, a morphological edge detection operator exploits the monotonicity property in performing segmentation. The segmentation allows specification of object scale, edge detail, and contrast and is applicable to object-based video coding.

Published in:

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on  (Volume:1 )

Date of Conference:

24-27 Oct. 1999