Robust Watershed Segmentation of Noisy Image Using Wavelet
نویسندگان
چکیده
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 denoising, as it can arrest the energy of a signal in few energy transform values, followed by Marker controlled Watershed Segmentation. Keywords— Wavelet, de-noising, Marker controlled Watershed Segmentation, Soft thresholding
منابع مشابه
A Novel Approach of Watershed Segmentation of Noisy Image Using Adaptive Wavelet Threshold
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 adaptive wavelet thresholding for de-noising, followed...
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