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Using connected components to quide image understanding and segmentation

Wang Y., Bhattacharya P.

Machine Graphics and Vision

2003

Vol. 12, No. 2

163-186

In this paper, we propose a method for understanding an image with the help of the theory of parameter-dependent connected components developed by us in a previous work. We may study various properties of an image at the connected component level, from the low level vision to an intermediate level vision. Using the information obtained from various component histograms and certain pre-knowledge, we describe how to select suitable values of the parameters so that an object in a gray image may be represented by a parameter-dependent component. Segmentation of the object could be conducted by locating the corresponding component. Our approach can be applied to a wide variety of images as we do not make any assumptions about the image formation model, and the method is independent of the type of the grid system used for the digitization process and the type of pixel adjacency relation.