Detection of Brain Tumor using Expectation Maximization (EM) and Watershed
Keywords:
MRI, Brain Tumor, Segmentation, Morphological OperationsAbstract
Human Body is made up of several cells which have their own capabilities. When these cells unrequitedly divide themselves, it develops into Tumor. The exact cause behind the loss of control over division is not known so far. Further growth of tumor would hinder the usual working of the brain. Hence detecting it in the first stage is necessary. It is a tedious task to accurately find the tumor. In case of Brain Tumor detection, there are several imaging techniques but MRI stands out with promising results. The proposed paper is motivated by the need for high precision when it comes to a human life. It considers MRI of brain and performs filtering, segmentation using Expectation Maximization and Watershed and also morphological operations. Later the results obtained from both the methods are combined to give a final image highlighting the tumor. Also, the accuracy of detecting the tumor is measured with the help of available truth images of MRI used.
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