ABSTRACT
The primary approach in image processing is segmentation. Image processing procedures have been widely applied in various medical sectors for early detection, identification, and separation of diseases in recent years. Time consumption is a crucial criterion for discovering diseases for patients. Statistical Analysis/Methods: This study uses Particle Swarm Optimisation, an optimisation procedure dependent on swarm intelligence, to investigate the detection and isolation of brain tumours using MRI. Because of its simplicity, the method is frequently used. The first part of the project is to transform the imaging into an image file. The second stage involves using the PSO procedure to alter the values of n. The third stage is to choose the best output photographs based on the amount of time available. The final step is to extract the tumour-affected area using the appropriate filtering algorithms and rapidly developed. Implementation, Conversion, selection, and extraction are the four stages of this project. MRI pictures in the axial and coronal planes are used in this study. Finally, this study closes with the retrieval of the resultant image, which is used as input, and the impacted region is readily separated and determined using the best filtering technique. This study also determines which plane is appropriate for the PSO procedure.
