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Proceedings of

International Conference on Advanced Computing, Communication and Networks CCN 2011

"COMPARISON OF K-MEANS AND ADAPTIVE K-MEANS USING MATLAB SIMULATION"

PANKAJ AGRAWAL SACHIN M. JAMBHULKAR
DOI
10.15224/978-981-07-1847-3-1027
Pages
706 - 710
Authors
2
ISBN
978-981-07-1847-3-1027

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.”

Keywords: Image Segmentation, K-means, Adaptive k-means

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