Multimodal image fusion using an evolutionary based algorithm for brain tumor detection

Abstract

Medicinal image fusion is an unpredictable procedure. Joining and combining data from at least two images from various sources or modalities into a solitary image is known as image fusion. This kind of joining of various data's from two unique modalities is done to build the indicative ability. In this work, genetic algorithm (GA) based image combination is performed with the assistance of continuous medicinal images. Hereditary algorithm is an evolutionary procedure. For combination we utilize two critical GA administrators called hybrid and change. The proposed system is performed on two arrangements of magnetic resonance imaging (MRI) and, computed tomography (CT) images. The execution of the proposed system is assessed with various quality measurements.