Analysis of Image Segmentation Algorithms Using MATLAB

Research Area: Volume 1 Issue 1, Jan 2012 Year: 2012
Type of Publication: Article Keywords: Image segmentation, N-cut, Mean-shift, Fuzzy-C mean, Image analysis
Authors:
  • Gajendra Singh Chandel
  • Ravindra Kumar
  • Deepika Khare
  • Sumita Verma
Journal: IJEIR Volume: 1
Number: 1 Pages: 51 - 55
Month: Jan.
ISSN: 2277-5668
Abstract:
Image segmentation has played an important role in computer vision especially for human tracking. The result of image segmentation is a set of segments that collectively cover the entire image or a set of contours extracted from the image. Its accuracy but very elusive is very crucial in areas as medical, remote sensing and image retrieval where it may contribute to save, sustain and protect human life. This paper presents the analysis and implementation using MATLAB features and one best result can be selected for any algorithm using the subjective evaluation. We considered the techniques under the following five groups: Edge-based, Clustering-based, Region-based, Threshold-based and Graph-based.

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