Novel Amalgam nation for Digital Image segmentation Techniques

T. Srinivas Reddy, Yashpal Singh


Evaluating the previous work is an important part of developing segmentation methods for the image analysis techniques. The aim of this paper is to give a review of digital image segmentation techniques. The problems of digital image segmentation represent great challenges for computer vision. The wide range of the problems of computer vision may make good use of image segmentation. This paper study and evaluate the different methods for segmentation techniques. We discuss the main tendency of each algorithm with their applications, advantages and disadvantages. This study is useful for determining the appropriate use of the image segmentation methods and for improving their accuracy and performance and also for the main objective, which designing new algorithms.


Active Contour, Segmentation Enhancement, Topological Alignments, Boundary Detection, image Segmentation, Inversion Technique.

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