An Improved C-Means Clustering for Image Segmentation

Abstract:

Image segmentation is an important part of the image process, and it is also the current hot and focus in image research. How to achieve better segmentation results are dominating targets of researchers. Currently, image segmentation based on clustering is the main research area. Firstly, this paper introduces the traditional C-means clustering algorithm and its characteristic has been analyzed. Then, the initial clustering center and the number are selected using the histogram. Finally, the image is converted from the RGB space to Lab space for clustering, and it has improved the accuracy and efficiency of image segmentation.

• Periodical: Advanced Materials Research (Volume 981)
• Pages: 344-347
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.981.344
• Online since: July 2014
• Authors: Tai Fa Zhang*
• Keywords: Cluster Analysis, C-Means, Image Segmentation

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