Hybrid Technique Using PSO and Region Growing Algorithm for Brain Tumor Detection

Fragmentation, detection and extraction of the infected tumor region of MRI are the main concern, but arduous task and time taken by radiologist, depends on their experience only. Computer knowledge is used for these problems. To progress working and reduce the complexity involved in the medical image partitioning process, we have studied the fragmentation of cerebral tumors. To improve the accuracy and quality of the relevant properties extracted from each fragmented fabric. Performance and quality analysis on the brain MRI, based on to the implementation time, stability and precision are evaluated