Survey of Image Fusion Techniques for Brain Tumor Detection

Image Fusion is the process of combining relevant information from two or more images into a single composite image. Image fusion is used to detect the tumor by integrating two or more medical images. In this paper, we propose Genetic algorithm to detect the brain tumor, which generate solutions to optimization problems using techniques, such as selection, crossover and mutation. Before applying genetic algorithm, features of the images are extracted. Feature Extraction is a form of dimensionality reduction and it can be either general feature, such as extraction of color, texture and shape features.