Image Filtering Methods for Biomedical Applications
作者： M. Khalid Khan Niazi
DOI:
关键词:
摘要: Filtering is a key step in digital image processing and analysis. It mainly used for amplification or attenuation of some frequencies depending on the nature application. can ei ...
参考文章(44)
Arvind S. Mohais, Rui Mendes, Christopher Ward, Christian Posthoff, Neighborhood re-structuring in particle swarm optimization australasian joint conference on artificial intelligence. pp. 776- 785 ,(2005) , 10.1007/11589990_80
Ali Ghodsi, Dimensionality Reduction A Short Tutorial ,(2006)
Patrick Flandrin, Paulo Gonçalves, Gabriel Rilling, On empirical mode decomposition and its algorithms Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP-03. ,(2003)
Hans Knutsson, Gösta H. Granlund, Texture Analysis Using Two-Dimensional Quadrature Filters ,(1983)
Andries P. Engelbrecht, Computational Intelligence: An Introduction ,(2018)
Yuanjie Zheng, Murray Grossman, Suyash P. Awate, James C. Gee, Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. ,vol. 12, pp. 852- 859 ,(2009) , 10.1007/978-3-642-04271-3_103
J. Kennedy, Stereotyping: improving particle swarm performance with cluster analysis congress on evolutionary computation. ,vol. 2, pp. 1507- 1512 ,(2000) , 10.1109/CEC.2000.870832
H. Knutsson, C.-F. Westin, Normalized and differential convolution computer vision and pattern recognition. pp. 515- 523 ,(1993) , 10.1109/CVPR.1993.341081
Joseph C Dunn, None, A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters Journal of Cybernetics. ,vol. 3, pp. 32- 57 ,(1973) , 10.1080/01969727308546046
E. Ardizzone, R. Pirrone, O. Gambino, Bias artifact suppression on MR volumes Computer Methods and Programs in Biomedicine. ,vol. 92, pp. 35- 53 ,(2008) , 10.1016/J.CMPB.2008.06.005