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  • 标题:A Novel Approach of Watershed Segmentation of Noisy Image Using Adaptive Wavelet Threshold
  • 本地全文:下载
  • 作者:Nilanjan Dey ; Arpan Sinha ; Pranati Rakshit
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:6
  • 页码:2686-2690
  • 出版社:TechScience Publications
  • 摘要: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 by Marker controlled Watershed Segmentation.
  • 关键词:Wavelet; De-noising; Marker controlled Watershed;Segmentation; Bayes Soft thresholding.
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