Parameter Evaluation and Review of Region Based Image Segmentation Algorithms

  Digvijay Singh,  Pratibha Sharma

Image segmentation is an important image processing step, and it is used everywhere if we want to analyze what is inside the image. Image segmentation; basically provide the meaningful objects of the image. The main goal is to make image simpler and meaningful .There are various image segmentation techniques that could be used in the segmentation algorithm. Region based segmentation is one of them. Whenever we work with the image in any application, initial step is to segment the image in order to solve its complexity. The segmentation of images is the basic thing for understanding the images. It is used in the Image processing applications, Computer vision, etc. In this paper, two region based image segmentation algorithms watershed and k-nearest neighbors are used to perform image segmentation basis on regions of image and compare their performance with parameters PSNR, MSE. In Region based segmentation, we have to find homogeneous regions according to a specific criterion (intensity value, texture).

Keywords- Image segmentation, Region Based technique, Watershed transformation, K-NN Algorithm, PSNR, MSE.

Unique Identification Number - IJEDR1702311
Page Number(s) - 2001-2005
Pubished in - Volume 5 | Issue 2 | June 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Digvijay Singh,  Pratibha Sharma,   "Parameter Evaluation and Review of Region Based Image Segmentation Algorithms", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.2001-2005, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702311.pdf