title: A novel framework of tissue membrane systems for image fusion.
abstract: This paper proposes a tissue membrane system-based framework to deal with the optimal image fusion problem. A spatial domain fusion algorithm is given, and a tissue membrane system of multiple cells is used as its computing framework. Based on the multicellular structure and inherent communication mechanism of the tissue membrane system, an improved velocity-position model is developed. The performance of the fusion framework is studied with comparison of several traditional fusion methods as well as genetic algorithm (GA)-based and differential evolution (DE)-based spatial domain fusion methods. Experimental results show that the proposed fusion framework is superior or comparable to the other methods and can be efficiently used for image fusion.
authors.affiliation: Department of Computer Science, Sichuan University for Nationalities, Kangding 626001, China.
authors.forename: Zulin
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Finance and Management, Leshan Vocational and Technical College, Leshan 614000, China.
authors.forename: Xinzhong
authors.initials: X
authors.lastname: Yi
authors.affiliation: Center of Radio Administrator and Technology Development, Xihua University, Chengdu 610039, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Peng
mesh_terms: D000465:Algorithms; D032701:Biomimetics / Q000379:methods*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008566:Membranes; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique
keywords: Membrane computing; image fusion; membrane systems; tissue membrane systems