Thresholding and K-Means Techniques for Color...

Thresholding and K-Means Techniques for Color Image Segmentation

Author Name : Priya M K, Shalini B N

ABSTRACT

The technology of image segmentation is widely used in medical image processing, face recognition, Pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc. Image can be represented using different color models like RGB, HSV, Lab, and CMYR while segmentation process. In this paper we have segmented a color image using two different image segmentation techniques called Thresholding and K-means using HSV color model. We have also analyzed two techniques with different performance metrics like Sensitivity, Specificity and Accuracy of segmentation.

Keywords: Clustering techniques, K-means, Thresholding, Image segmentation, RGB, HSV.