title: DNA genetic artificial fish swarm constant modulus blind equalization algorithm and its application in medical image processing.
abstract: This study proposes use of the DNA genetic artificial fish swarm constant modulus blind equalization algorithm (DNA-G-AFS-CMBEA) to overcome the local convergence of the CMBEA. In this proposed algorithm, after the fusion of the fast convergence of the AFS algorithm and the global search capability of the DNA-G algorithm to drastically optimize the position vector of the artificial fish, the global optimal position vector is obtained and used as the initial optimal weight vector of the CMBEA. The result of application of this improved method in medical image processing demonstrates that the proposed algorithm outperforms the CMBEA and the AFS-CMBEA in removing the noise in a medical image and improving the peak signal to noise ratio.
authors.affiliation: Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China.
authors.forename: Y C
authors.initials: YC
authors.lastname: Guo
authors.affiliation: Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China.
authors.forename: H
authors.initials: H
authors.lastname: Wang
authors.affiliation: Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, China.
authors.forename: B L
authors.initials: BL
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D000818:Animals; D004247:DNA / Q000737:chemistry; D003952:Diagnostic Imaging / Q000706:statistics & numerical data*; D005399:Fishes / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data*; D059629:Signal-To-Noise Ratio
chemical_list: D004247:DNA