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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 '.

Segmentation of Medical Images Using Topological Concepts Based Region Growing Method