Iterative Process For Colour Image Segmentation Using A Convexity Criterion

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Abstract
In image processing, the segmentation is a very important step, mainly because of its influence on the feature evaluation. During the segmentation process, problems occur either due to possible ambiguities in the pixel labelling or due to frequent contacts between different components. This paper describes an iterative method, designed to segment convex poorly contrasted or touching objects which is based on the association of two notions, one related to the object colour and the other to its shape, in terms of convexity. Starting from an initial connected set of points, pixels are iteratively aggregated to that set using a colour distance. The processing stops when convexity of the iterated set is reached. Application to a particular class of convex objects, such as blood and bone marrow cells is presented.© (1983) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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