Survey of Image Fusion Techniques for Brain Tumor Detection
S.L. Jany Shabu1, Dr. C. Jayakumar2, T. Surya3
1S.L. Jany Shabu, Computer Science and Engineering, Sathyabama University, Chennai, India.
2Dr.C. Jayakumar, Professor Computer Science and Engineering, R.M.K. Engineering College ,Kavaraipettai, India.
3T. Surya, Computer Science and Engineering, Sathyabama University, Chennai, India.
Manuscript received on November 25, 2013. | Revised Manuscript received on December 15, 2013. | Manuscript published on December 30, 2013. | PP: 457-459 | Volume-3, Issue-2, December 2013. | Retrieval Number:  B2518123213/2013©BEIESP

Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: 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.
Keywords: Feature Extraction, Genetic Algorithm, Image Fusion.