Discrete Dynamics in Nature and Society
Volume 2008 (2008), Article ID 384346, 8 pages
Research Article

Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation

K. Parvati,1 B. S. Prakasa Rao,2 and M. Mariya Das3

1Department of Electronics and Communication Engineering (ECE), Jagannath Institute for Technology and Management (JITM), Parlakhemundi, Gajapati 761 211, Orissa, India
2Department of Geo-Engineering, Andhra University, Visakhapatnam 530 003, India
3Department of Instrument Technology, Andhra University, Visakhapatnam 530 003, India

Received 20 August 2008; Accepted 26 November 2008

Academic Editor: B. Sagar

Copyright © 2008 K. Parvati et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Segmentation, a new method, for color, gray-scale MR medical images, and aerial images, is proposed. The method is based on gray-scale morphology. Edge detection algorithm includes function edge and marker-controlled watershed segmentation. It features the simple algorithm implemented in MATLAB. The watershed segmentation has been proved to be a powerful and fast technique for both contour detection and region-based segmentation. In principle, watershed segmentation depends on ridges to perform a proper segmentation, a property that is often fulfilled in contour detection where the boundaries of the objects are expressed as ridges. For region-based segmentation, it is possible to convert the edges of the objects into ridges by calculating an edge map of the image. Watershed is normally implemented by region growing, based on a set of markers to avoid oversegmentation.