Parallel image segmentation using multi-threading and k-means algorithm
Soumyo Bose, Aniruddha Mukherjee, Madhulika Madhulika, Sayan Chakraborty, Sourav Samanta, Nilanjan Dey · 2013
In the present era of mechanization, image segmentation has brought revolutionary changes in the field of image processing. There are many image segmentation methods in use but most of the prevalent techniques are not very efficient. In our current work, a method is proposed to segment images using multi-threaded programming and k-means clustering. Parts of images are used as a thread and k-means clustering is used to segment them on every thread. An efficient image segmentation technique using the multithreaded program is done in this paper. These results are compared with segmentation results without multithreading. The obtained results are very much encouraging.