• Tajinder Kaur
• Tajinder kaur
• Er.Meenakshi Sharma

The brain tumour extraction is the key area in the image processing paradigm, and particularly used to determine the location of the brain tumour in the brain scan images. The brain imagery includes the CT imaging, MRI imaging, X-Ray, etc, which are used as the target imagery to detect the tumour region in that scan imagery. The morphological textural analysis is performed primarily to localize the tumour regions in the target image, where different types of geodesic or morphological methods have been applied in the various research models. In this paper, the geodesic algorithms are used to determine the patterns in the image matrices, which are processed on the basis of geodesic pattern or textural analytics of image matrix. The proposed method uses fuzzy c-means (FCM) and discrete wavelet transform (DWT) to evaluate the images in different stages, particularly when the textural, residual textural, object based analysis, etc is performed, it is intended to return the more balanced and accurate results. In this paper, a more balanced and dynamic FCM method is developed, which uses the multiple factors to localize the tumour region in the target image, which is generally controlled by the 2-level decomposition of the image matrix using discrete wavelet transformation. The proposed model has learnt to outperform the existing models on the basis of accuracy based parameters.

Tumor detection , 3D blob detection, supervised classification, fuzzy-c Means .

"IMPROVED FUZZY C-MEANS USING ADAPTIVE THRESHOLD FILTERING FOR BRAIN TUMOUR DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.561-567, June-2018, Available :http://www.jetir.org/papers/JETIR1806678.pdf

"IMPROVED FUZZY C-MEANS USING ADAPTIVE THRESHOLD FILTERING FOR BRAIN TUMOUR DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp561-567, June-2018, Available at : http://www.jetir.org/papers/JETIR1806678.pdf