Improvement in detection and analysis of brain abnormality and normal tissues is an important task in brain image analysis. Diagnosis quality of brain MR of brain images hampered due to the presence of artifacts and skull. Small abnormalities detection hampered due to the presence of skull region of brain. Sometimes artifacts and skull has been treated as an abnormality in automated system and it hamper the intelligence system. Thus in computerized pre-processed method requires as artifacts and skull removal. In this paper, a preprocessing method based on binarization and wavelet decomposition for improvement of brain abnormality detection and diagnosis has been described. Proposed preprocessing makes the image segmentation more accurate and small error. © 2017 SERSC.