TY  - JOUR
T1  - A Supervised Watershed Algorithm for Image Segmentation
AU - , S. Kothainachiar AU - , R.S.D. Wahita Banu 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 12
SP  - 1441
EP  - 1446
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.1441.1446
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.1441.1446
KW  - Image segmentation
KW  -markers
KW  -watershed
KW  -smoothing
KW  -performance evaluation
AB  - A Supervised Watershed Algorithm segments the image into as many regions as the number of markers, interactively placed by the user in the Region of Interest (ROI). Image Smoothing acts as the pre-processing step for segmentation. A non-linear Partial Differential Equation technique (PDE) or scale-space diffusion technique is used for image smoothing. This algorithm simplifies the problem of initialization as the image pixels are sorted previously according to difference between the maximum and minimum values in neighbors of the current pixel. This sorting makes an order of processing and ensures that the pixels around the edges have their processes postponed. The local seed points are automatically detected and labeled. To avoid over-segmentation problem, this algorithm merges the non-significant regions based on the markers. The user can repeat the process, until satisfactory results are obtained. Accurate segmentation results are obtained for gray scale images and color images by using this simple algorithm.
ER  -