Modified Multi - Scale Morphological Watershed Segmentation Algorithm of 2d Images Using Hill Climbing Techniques

Vol.1 No.1

Year: 2012

Issue: Dec-Feb

Title: Modified Multi - Scale Morphological Watershed Segmentation Algorithm of 2d Images Using Hill Climbing Techniques 

Author Name: R. Chithra Devi, R. Ananda Devi , T. Saravana Kumar 

Synopsis: 

The Watershed transformation has recently become a popular tool for image segmentation.  The purpose of image segmentation is to divide an original image into homogeneous regions. There exist several approaches to implement image segmentation. In this paper, Modified Multi-Scale Morphological Watershed Segmentation Algorithm of 2D Images Using Hill Climbing Techniques is introduced as a method of image segmentation.  It is a fast and flexible algorithm for computing watersheds in digital grayscale images. A review of watersheds and related notion is first presented and the major methods to determine watersheds are discussed. The present algorithm is based on Hill Climbing process analogy, in which the flooding of the water in the picture is efficiently simulated using a queue of pixels. It is proved that the accuracy of this algorithm is superior to that of the existing implementations. In addition, its strongest point is that it is faster than any other watershed algorithm. Mainly it reduces the over — segmentation.