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  • 标题:Image Segmentation using Improved Watershed Algorithm
  • 本地全文:下载
  • 作者:Samina Tahir Rizvi ; Mandeep Singh Sandhu ; Shan E Fatima
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:2543-2545
  • 出版社:TechScience Publications
  • 摘要:In this paper Denoising and Segmentation of various images is performed using morphological filters and watershed Algotrithm.Watershed Algorithm gives complete division of the image.It has low computational complexity and it suffers from oversegmentation.Segmentation is a process which divides the image into various segments which can be used for further study.These images or the formed segments are very sensible towards noise.Now a days technology has been developed to reduce the affect of the noise but still during the process of image accusation noise comes in the image either due to environmental error or instrumental error.So whatever the results appear are not upto the mark and are not acceptable.That is why denoising is necessary to reduce the affect of noise on the image results.In this paper for denoising we have studied various morphological filters and have used median filters to improve the results of watershed Segmentation.The Proposed Algorithm is applied on various images of different fields.Then these results are compared and evaluated with the original algorithm’s results on the basis of PSNR,MSE,RMSE and the time consumed to obtain the results.
  • 关键词:Watershed ;Segmentation;Denoising;Filters
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