Evaluating the Short Comings of Clustering based Segmentation Techniques
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 6
Abstract
This paper has presented a evaluation of some well-known image segmentation techniques. The segmentation process; divides a given image into distinct regions and objects. It has become more popular due to its various vision applications. The main objective of this study is to explore various algorithms of image segmentation. The short comings of earlier work on image segmentation algorithms have also been evaluated. The main focus of this paper is on the clustering based segmentation techniques.
Authors and Affiliations
Amanjot Kaur Randhawa
Keywords
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