Robust Watershed Segmentation of Noisy Image Using Wavelet
Journal Title: International Journal of Computer Science and Communication Networks - Year 2011, Vol 1, Issue 2
Abstract
Segmentation of adjoining objects in a noisy image is a challenging task in image processing. Natural images often get corrupted by noise during acquisition and transmission. Segmentation of these noisy images does not provide desired results, hence de-noising is required. In this paper, we tried to address a very effective technique called Wavelet thresholding for de-noising, as it can arrest the energy of a signal in few energy transform values, followed by Marker controlled Watershed Segmentation.
Authors and Affiliations
Nilanjan Dey , Arpan Sinha , Pranati Rakshit
Keywords
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