A Relative Study on the Segmentation Techniques of Image Processing

Main Article Content

Venkata Srinivasu Veesam
Bandaru Satish Babu

Abstract

The process of dividing a digital image into multiple segments, i.e., a set of pixels, is called segmentation. There is now a wide assortment of image segmentation techniques, some considered general purpose and some deliberate for specific classes of images. These techniques could be classified by detecting discontinuities and similarities. The success of image analysis depends on the reliability of segmentation, but an accurate partitioning of an image is a very challenging problem. The segmentation process also aids in finding the region of interest in a particular image. This paper addresses the different techniques in image segmentation.

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How to Cite
[1]
Venkata Srinivasu Veesam and Bandaru Satish Babu, “A Relative Study on the Segmentation Techniques of Image Processing”, Int. J. Comput. Eng. Res. Trends, vol. 4, no. 5, pp. 155–160, May 2017.
Section
Research Articles

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