Optimal composite morphological supervised filter for image denoising using genetic programming: Application to magnetic resonance images
暂无分享,去创建一个
Muhammad Tariq Mahmood | Muhammad Sharif | M. Arfan Jaffar | M. Jaffar | M. Mahmood | M. Sharif | Muhammad Arfan Jaffar
[1] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Thomas W. Parks,et al. Adaptive principal components and image denoising , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[3] Stephen Marshall,et al. Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration , 2003, IEEE Trans. Circuits Syst. Video Technol..
[4] Bassem A. Abdullah. Segmentation of Multiple Sclerosis Lesions in Brain MRI , 2012 .
[5] Edward R. Dougherty,et al. Design and analysis of fuzzy morphological algorithms for image processing , 1997, IEEE Trans. Fuzzy Syst..
[6] Jorge Herbert de Lira,et al. Two-Dimensional Signal and Image Processing , 1989 .
[7] Karl Krissian,et al. Noise-Driven Anisotropic Diffusion Filtering of MRI , 2009, IEEE Transactions on Image Processing.
[8] Jaakko Astola,et al. Transform domain image restoration methods: review, comparison, and interpretation , 2001, IS&T/SPIE Electronic Imaging.
[9] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[10] P. Baylou,et al. Adaptive filtering using morphological operators and genetic algorithms , 2002, 6th International Conference on Signal Processing, 2002..
[11] Robert D. Nowak,et al. Wavelet-based Rician noise removal for magnetic resonance imaging , 1999, IEEE Trans. Image Process..
[12] Alexei A Samsonov,et al. Noise‐adaptive nonlinear diffusion filtering of MR images with spatially varying noise levels , 2004, Magnetic resonance in medicine.
[13] Petros Maragos,et al. Morphological filters-Part II: Their relations to median, order-statistic, and stack filters , 1987, IEEE Trans. Acoust. Speech Signal Process..
[14] Aleksandra Pizurica,et al. A versatile wavelet domain noise filtration technique for medical imaging , 2003, IEEE Transactions on Medical Imaging.
[15] Sara Silva,et al. GPLAB A Genetic Programming Toolbox for MATLAB , 2004 .
[16] Karl J. Friston,et al. Voxel-Based Morphometry—The Methods , 2000, NeuroImage.
[17] Sean Luke,et al. Lexicographic Parsimony Pressure , 2002, GECCO.
[18] Deng Ze-Feng,et al. High Probability Impulse Noise-Removing Algorithm Based on Mathematical Morphology , 2007, IEEE Signal Processing Letters.
[19] Mohsin Bilal,et al. Adaptive Filter and Morphological Operators Using Binary PSO , 2010, ICICA.
[20] Isabelle Bloch,et al. Lattices of fuzzy sets and bipolar fuzzy sets, and mathematical morphology , 2011, Inf. Sci..
[21] Guido Gerig,et al. Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.
[22] Jean Serra,et al. Image Analysis and Mathematical Morphology , 1983 .
[23] Asifullah Khan,et al. Combination of support vector machines using genetic programming , 2006, Int. J. Hybrid Intell. Syst..
[24] Alex Rovira,et al. Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches , 2012, Inf. Sci..
[25] Tae-Sun Choi,et al. Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images , 2012, Inf. Sci..
[26] A. Macovski. Noise in MRI , 1996, Magnetic resonance in medicine.
[27] José V. Manjón,et al. MRI denoising using Non-Local Means , 2008, Medical Image Anal..
[28] V Saradhadevi,et al. A Novel TwoStage Impulse Noise Removal Technique based on Neural Networks and Fuzzy Decision , 2011 .
[29] Jesús Angulo,et al. Anisotropic Morphological Filters With Spatially-Variant Structuring Elements Based on Image-Dependent Gradient Fields , 2011, IEEE Transactions on Image Processing.
[30] Alan C. Evans,et al. BrainWeb: Online Interface to a 3D MRI Simulated Brain Database , 1997 .
[31] Tae-Sun Choi,et al. Optimal depth estimation by combining focus measures using genetic programming , 2011, Inf. Sci..
[32] D. Louis Collins,et al. New methods for MRI denoising based on sparseness and self-similarity , 2012, Medical Image Anal..
[33] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[34] Petros Maragos,et al. Morphological filters-Part I: Their set-theoretic analysis and relations to linear shift-invariant filters , 1987, IEEE Trans. Acoust. Speech Signal Process..
[35] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.