Tumor extraction from MRI images using dynamic genetic algorithm based image segmentation and morphological operation

Tumor is swelling of the body part, generally without any inflammation that happens due to abnormal growth of cells in that place of the body. Brain tumor is difficult to diagnose at initial stage. The tumor is diagnosed by magnetic resonance imaging (MRI) and depending on it, the tumors are distinguished into different grades of severity. This paper presents a new method to detect and extract tumor from the whole images. This paper proposes a scheme for extracting tumor from MRI based on GA (Genetic Algorithm) based FCM (Fuzzy C-means) clustering and morphological operation. Computer simulations of our algorithm present a considerable improvement over other existing techniques.