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Paper Details
Paper Title
Underwater Image Segmentation Using Clustering
Authors
  Sneha P. Shah,  Viraj C. Daxini
Abstract
Quality of underwater images is directly affected by water medium, atmosphere medium, pressure and temperature. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image segmentations the most practical approach among virtually all automated image recognition systems. Experimental results show that fuzzy c means clustering algorithm performs better than other methods in processing underwater images.
Keywords- Clustering
Publication Details
Unique Identification Number - IJEDR1402004Page Number(s) - 1339-1344Pubished in - Volume 2 | Issue 2 | June 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Sneha P. Shah,  Viraj C. Daxini,   "Underwater Image Segmentation Using Clustering", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.1339-1344, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402004.pdf
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