Mri Brain Images Tumor Detection and Feature Extraction Using Clustering and Morphology

Amandeep Bawa, Manpreet kaur


Segmentation refers to classification of an image into different regions. Eventually days medical field is to an extraordinary degree rely upon image segmentation process. This paper aims to segment MRI image using clustering and morphology technique to detect tumor and after that extracting static components of the tumor area. Brain tumor is very hurtful infection. It is demonstrate that the probability of survival can be broadened if tumor is identified or recognized effectively. So an effective diagnosis and detection of brain tumor is very important for the treatment. In this manner we need a more productive tumor detection method with some favored properties such as minimum client interaction, quick computation and accurate outcomes. In this paper an efficient and capable segmentation method is used for tumor detection and feature extraction of brain MRI images.

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