MRI images classification based on software agent

In this Paper an Approach For brain tumour types detection and classification is proposed. This study was developed using agency system classification brain tumors. It includes sensor to get the input image. The agency program comprises preprocessing to reduce the salt and pepper noise. The detection of tumor is materialized by using multi-level threshold segmentation, opening and closing morphological operation to enhance the multi-level threshold, watershed transform to segment the tumor, extract important feature using binary object feature, and classification the types of brain tumor. The actuator is used to output the classification and decision. The agency system achieves an accuracy (100%) to classify the images into normal tissues, meningioma tumor, meningioma benign, Gliomas and metastases.