Conference Proceedings

International Conference on Advanced Computing, Communication and Networks - CCN 2011

Comparison of K-means and Adaptive K-means using MATLAB Simulation

Author(s) : PANKAJ AGRAWAL, SACHIN M. JAMBHULKAR

Abstract

Image Segmentation based on K-means algorithm is presented in GUI (Graphical User Interface). The K-means algorithm and adaptive k-means clustering is used to obtain high performance and efficiency in image segmentation. In addition, it has a resolving capability of one image into different planes by selecting the number of clusters using datasets of image. And also the advance of K-means is adaptive K-means which will give the frame size and the absolute value between the means of an image. The iteration time on image segmentation is determined by using Adaptive k-means clustering. Adaptive k-means is used for better image segmentation that has been shown in MATLAB Simulation.

Conference Title : International Conference on Advanced Computing, Communication and Networks - CCN 2011
Conference Date(s) : June 2-3, 2011
Place : Hotel Aroma, Chandigarh, India
No fo Author(s) : 2
DOI :
Page(s) : 706 - 710
Electronic ISBN :
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