Underwater Image Segmentation Using Clustering
- Sneha P. Shah
- Viraj C. Daxini
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.
Sneha P. Shah, Viraj C. Daxini. "Underwater Image Segmentation Using Clustering".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 2, pp.1339-1344, URL :https://rjwave.org/ijedr/papers/IJEDR1402004.pdf
Volume 2 Issue 2
Pages. 1339-1344
