A self stabilizing robust region finder applied to color and optical flow pictures

M. Ben-Ezra; M. Werman; Y. Bar-Yam

doi:10.1016/S0262-8856(00)00079-2

A self stabilizing robust region finder applied to color and optical flow pictures

M. Ben-Ezra^*, M. Werman, Y. Bar-Yam

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a new robust yet very simple algorithm to find a homogeneous region in an image. The algorithm is based on iteratively growing and shrinking a region until a stable state of the algorithm is reached and good fit is found. We have shown that the algorithm works very well in color and optical flow pictures, and overcomes some of the drawbacks of classic seed growing algorithms.

Original language	English
Pages (from-to)	427-433
Number of pages	7
Journal	Image and Vision Computing
Volume	19
Issue number	7
DOIs	https://doi.org/10.1016/S0262-8856(00)00079-2
State	Published - 1 May 2001

Keywords

Region growing
Segmentation

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10.1016/S0262-8856(00)00079-2

Cite this

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abstract = "This paper presents a new robust yet very simple algorithm to find a homogeneous region in an image. The algorithm is based on iteratively growing and shrinking a region until a stable state of the algorithm is reached and good fit is found. We have shown that the algorithm works very well in color and optical flow pictures, and overcomes some of the drawbacks of classic seed growing algorithms.",

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KW - Segmentation

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A self stabilizing robust region finder applied to color and optical flow pictures

Abstract

Keywords

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