Mri Segmentation Using Kmeans and Canny Edge Detector Algorithm
نویسندگان
چکیده
In this paper, two algorithms for MRI segmentation are studied. K-means and canny edge detector. The objective of this paper is to perform a segmentation process on MR images of the human brain, using K-means Algorithm and canny Edge detection algorithm. K-means Clustering algorithm gives us the segmented image of an MRI having the same intensity regions. K-means Clustering segments all the three matters of the brain i.e. Grey matter, White matter and Dark matter. Also the edge detection algorithm is implemented that gives us the boundaries of the various regions of the MRI depending on scale and threshold values used for the segmentation. Implementation of each algorithm is then discussed. Finally, the experimental results of each algorithm are presented and discussed. [Anu Sharma, Ashish Oberoi and Rajeev kumar.MRI segmentation using k-means and canny edge detector algorithm. New York Science Journal 2011;4(6):53-60]. (ISSN: 1554-0200). http://www.sciencepub.net/newyork.
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