KARPAGAM Journal of Computer Science (ISSN : 0973-2926)

Automatic detection of brain tumour from MRI brain image by histogram thresholding and segmenting it using Region growing algorithm
Authors : D.Selvaraj & R.Dhanasekaran

Abstract
This paper presents an efficient method for automatic brain tumour segmentation for the extraction of tumour tissues from MR images. It combines morphological operators for skull stripping, 2D Gaussian convolution filter for enhancement, bimodal histogram for selecting seed pixels and region growing algorithm for segmenting abnormal tissue . The proposed method uses T1 weighted grey level intensity images. This proposed method can be used to detect the abnormal tissue and its geometrical dimension. This technique is simpler, faster and automatic. This method produces good result in noisy images also. The proposed method has been applied to a large number of MR images showing promising results for various image qualities, encouraging for future.