Journals Proceedings

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.