International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 107 - Number 12 |
Year of Publication: 2014 |
Authors: Dibya Jyoti Bora, Anil Kumar Gupta |
10.5120/18803-0329 |
Dibya Jyoti Bora, Anil Kumar Gupta . A New Approach towards Clustering based Color Image Segmentation. International Journal of Computer Applications. 107, 12 ( December 2014), 23-30. DOI=10.5120/18803-0329
Color image segmentation is currently a very emerging topic for researchers in Image processing. Clustering is a frequently chosen methodology for this image segmentation task. But for a better segmentation, there arises the need of an optimal technique. In this paper, we propose an integrated approach for color image segmentation which is a new of its kind. Here, we integrate the famous k-means algorithm with watershed algorithm. But, here we chose 'cosine' distance measure for k-means algorithm to optimize the segmented result of the later one. Also, as color space has a leading impact on color image segmentation task, so, we chose HSV color space for our proposed approach. Since usually the noise arises during the segmentation process, so here the final segmented image is filtered by median filter to make the output image clearer and noise free. The result of the proposed approach is found to be quite satisfactory.