BIO-MEDICAL IMAGE SEGMENTATION USING MARKER CONTROLLED WATERSHED ALGORITHM: A CASE STUDY

Ravi S, A M Khan

Abstract: Image segmentation is a process in which the objects of interests are selected and separated from the total image to analyze and extract the required data. It is one of the image processing methods, which is widely open for research. Many algorithms have been proposed till date to improve the quality of segmentation and the best one is yet to design. Watershed algorithm is one such reliable approach to segment homogeneous regions in an image. It is superior to region growing method in terms of number of regions obtained after processing. In this paper a robust approach is discussed to improve, the primary drawback of watershed algorithm, over-segmentation. We discuss morphological marker controlled method and the use of gradient image for watershed algorithm to minimize over-segmentation.

Keywords: Watershed Algorithm, Morphological Operation, Marker Controlled Watershed, Morphological Reconstruction, Image Segmentation

DOI: https://doi.org/10.15623/ijret.2014.0315006