Comparative Analysis of various thresholding techniques, region based techniques and watershed technique for Image segmentation of Satellite and MRI Images

Authors

  • Sheron H. Christy Electronics & Communication Department, V.V.P. Engineering College, Rajkot

Keywords:

thresholding, niblack, sauvola, k-means, mean-shift, n-cut, marker-controlled watershed

Abstract

Image segmentation is a process of partitioning an image into multiple parts for making it more meaningful
and easy to analyze. Image segmentation is frequently used for medical image analysis as well as locating objects in
satellite images like roads, crops, etc. In this paper, various techniques like thresholding based, region based, K-means
and marker controlled watershed algorithm have been compared for satellite as well as MRI images of brain which may
prove useful for extracting region of interest from images.

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Published

2017-03-25

How to Cite

Sheron H. Christy. (2017). Comparative Analysis of various thresholding techniques, region based techniques and watershed technique for Image segmentation of Satellite and MRI Images. International Journal of Advance Engineering and Research Development (IJAERD), 4(3), 448–454. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2064

Issue

Vol. 4 No. 3 (2017): Volume 4 Issue 3 March 2017

Section

Articles