Segmentation of Medical Images Using Topological Concepts Based Region Growing Method

B. Shanthi Gowri, Gnanambal Ilango · IOSR Journal of Mathematics · 2014

Image segmentation is an important task in the field of image processing.Medical image segmentation plays a vital role in assisting the radiologists to visualize and analyze the region of interest in medical images.Region growing is a very useful technique for image segmentation.Region growing method of segmentation which is based on the classification of pixels into connected components by selecting a seed and grouping its neighbours with the seed based on the gray levels of the neighbours.In this article, we propose a new seeded region growing segmentation algorithm based on metric topological -neighbourhoods of different metrics and grouping criterion for segmentation of region of interest from the medical images.The qualities of segmented images are measured by the evaluation measure 'Accuracy '.

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