Segmentation of Medical Images Using Topological Concepts Based Region Growing Method

Abstract

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 '.