Brain Tumor Detection on MRI Images Using Segmentation and Clustering Full Matlab Project Code

ABSTRACT

          Image processing is an active research area in which medical image processing is a highly challenging field. Medical imaging techniques are used to image the inner portions of the human body for medical diagnosis. Brain tumor is a serious life altering disease condition. Image segmentation plays a significant role in image processing as it helps in the extraction of suspicious regions from the medical images. In this project we have proposed segmentation of brain MRI image using K-means clustering algorithm followed by morphological filtering which avoids the mis-clustered regions that can inevitably be formed after segmentation of the brain MRI image for detection of tumor location. In this project, we present a system based on enhancement technique and feature extraction techniques using segmentation and clustering used to analyze the texture features extracted texture feature has the ability to classify benign, malignant.

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Contact:

Mr. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email: roshanphelonde@rediffmail.com