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Comparative Study of Tumor Detection Techniques with their Suitability for Brain MRI Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 127 - Number 13 |
| Year of Publication: 2015 |
| Authors: Deepak Baghel, K.G. Kirar |
10.5120/ijca2015906579
|
Deepak Baghel, K.G. Kirar . Comparative Study of Tumor Detection Techniques with their Suitability for Brain MRI Images. International Journal of Computer Applications. 127, 13 ( October 2015), 21-26. DOI=10.5120/ijca2015906579
Abstract
This paper is a study of detection of Brain tumor in MRI images by using simple Canny Edge Detection Technique , canny technique and Fuzzy c-means method by using Morphological Operations. The canny edge detection technique defines edges of the MRI image by using many parameter like thresholding, thinning etc. canny with morphological operation like dilation, erosion etc., where simply applied on it for getting better results, and fuzzy c-means method gives best results for segmentation of Brain tumor in MRI images. Segmentation is very important task for detection of area of intrest; after the segmentation morphological operation are applied to detect tumor in MRI brain images, these methods are tested over multiple MRI tumorous and nontumorous images. General terms Edge based Segmentation, clustering
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