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Research Report CS-RR-149

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A. Bhalerao and R.G. Wilson, Multiresolution Image Segmentation (September 1, 1989).

Abstract

The segmentation of images into regions that have some common property is a fundamental problem in image processing. Traditional approaches to segmentation have been either edge based or region based. It is clear, however, that a multiresolution approach, where image properties are measured at varying scales, is the only way to overcome the inherent uncertainty between the class of a region and its position. A review is presented of both boundary and region bsed schemes concentrating on multiresolution methods. Taking boundary information as input, these operators can detect features such as corners, and could be employed to provide shape information in a segmentation scheme. A new quad-tree segmentation method is described and some initial results presented.

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A.H. Bhalerao and R.G. Wilson, "Multiresolution Image Segmentation Combining Region and Boundary Information", Theory and Applications of Image Analysis: Proceedings of the 7th Scandinavian Conference on Image Analysis, Aalborg, ed. P. Johansen and S. Olsen, World Scientific, pp. 1162-1169 (1992)

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