Abstract: Image processing techniques have developed as highly effective tools for interpreting medical pictures and assisting in the accurate detection and characterisation of brain cancers. The early detection of a brain tumor is critical for accurate diagnosis and treatment planning. This study gives a thorough examination of the various image processing techniques used in the field of brain tumor identification. The paper goes over the many processes of identifying brain tumors, such as picture capture, preprocessing, segmentation, feature extraction, and classification. The study examines the various approaches and algorithms used in each stage, highlighting their strengths and weaknesses. In addition, current advances, problems, and future possibilities in brain tumor detection utilizing image processing approaches are presented. This review study contains useful information for both scholars and practitioners.

| DOI: 10.17148/IARJSET.2023.10755