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Improvement In Watershed Image Segmentation For High Definition Images
Er Sachin Bharti
Image segmentation is the fastest and most exciting research area in the field of information technology. There are a number of techniques for doing the image segmentation, but the watershed image segmentation technique is the latest one. It is easy to use, but there is a major drawback of over- segmentation. This problem may or may not appear in the case of simple images, which are not high definition, but mostly it appears in the case of high definition images. The goal of this paper is to resolve the problem of over-segmentation. This can be done by reducing the size of the image first and then reducing the noise of the reduced size image. This can be verified by comparing the PSNR (Peak Signal to Noise Ratio) value of the traditional watershed algorithm to the improved watershed algorithm.
Keywords- Image segmentation, watershed, catchment basin, flooding, over segmentation, MATLAB.
Unique Identification Number - IJEDR1702314Page Number(s) - 2018-2022Pubished in - Volume 5 | Issue 2 | June 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Er Sachin Bharti,   "Improvement In Watershed Image Segmentation For High Definition Images"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.2018-2022, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702314.pdf