Morphological Image Processing Approach Using K-Means Clustering for Detection of Tumor in Brain

摘要: The brain is the anterior part of central nervous system. Along with spinal cord, it forms system (CNS). Brain tumor an abnormal growth caused by cells reproducing themselves in uncontrolled manner. Magnetic resonance imaging (MRI) commonly used technique for diagnosis tumors. In MRI, amount data obtained very large to manually analyze and interpret. Segmentation important process medical image analysis a challenging problem due noise present input images. Clustering efficient method biomedical segmentation. this study, we propose use K-means clustering algorithm under Morphological Image Processing (MIP). MR human brain. position objects detected from using algorithm. This enhances boundaries more precisely performance evaluated based on execution time accuracy algorithms. It produces reliable results that are less sensitive error.