Comparison of K-Means and Adaptive K-Means Using MATLAB Simulation

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.

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