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Volume & Issue no: Volume 3, Issue 12, December 2014

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Title:
Automated Brain Tumor Segmentation Using Region Growing Algorithm by Extracting Feature
Author Name:
Shraddha P. Dhumal, Ashwini S Gaikwad
Abstract:
ABSTRACT In this paper, we propose a methodology for fully automated Brain Tumor segmentation from Magnetic Resonance Images. Contrast Normalization is performed in input image. Algorithm has been designed to extract the feature points. Feature points relating to Tumor are then identified and extracted using morphological operation but before go through that use wavelate transform and then thresholding then use feature point as seeds for further region growing. Feature points are obtained by fusion of wavelet methods and image edge map and threshoding. Superimposed used between the input image and feature point . Our method gives a sparse representation of the information (region of interest) in the medical image and thereby vastly improves upon the computational speed for tumor segmentation results. Keywords:- Brain Tumor, Feature point, wavelet transform, Thresholding, morphological operation
Cite this article:
Shraddha P. Dhumal, Ashwini S Gaikwad , " Automated Brain Tumor Segmentation Using Region Growing Algorithm by Extracting Feature " , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 12, December 2014 , pp. 121-127 , ISSN 2319 - 4847.
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