图像特征提取研究

doi:10.3969/j.issn.1000-1565.2009.01.024

摘要/Abstract

摘要： 图像特征提取是图像识别的关键步骤,图像特征提取的效果如何直接决定着图像识别的效果.如何从原始图像中提取具有较强表示能力的图像特征是智能图像处理的一个研究热点.本文旨在介绍各种图像特征提取方法的基本思想、特点和研究发展现状,以引起国内学者的进一步关注.

关键词: 图像, 图像识别, 特征提取, 小波变换, 软计算

中图分类号:

TP391

翟俊海,赵文秀,王熙照. 图像特征提取研究[J]. 河北大学学报(自然科学版), 2009, 29(1): 106-112.

ZHAI Jun-hai,ZHAO Wen-xiu,WANG Xi-zhao. Research on the Image Feature Extraction[J]. Journal of Hebei University (Natural Science Edition), 2009, 29(1): 106-112.

[1] 李弼程, 郭志刚, 文超, LI Bi-cheng, GUO Zhi-gang, WEN Chao. 图像的多层次模糊增强与边缘提取 [J]. 模糊系统与数学 2000.doi:10.3969/j.issn.1001-7402.2000.04.012
[2] 孙即祥. 现代模式识别 [M]. 长沙:国防科技大学出版社 2002.
[3] 杨淑莹. 图像模式识别:VC++技术实现 [M]. 北京:清华大学出版社;北京:北京交通大学出版社 2005.
[4] 李弼程, 彭天强, 彭波. 智能图像处理技术 [M]. 北京:电子工业出版社 2004.
[5] HU M. Visual pattern recognition by moment invariant [J]. IRE Transactions on Information theory 1962, 8.
[6] KHOTANZAD. A zernike moment based rotation invariant features for pattern recognition [J]. Spie 1988, 1002.
[7] Shen Dinggang, Ip Horace H.S.. Discriminative wavelet shape descriptors for recognition of 2-D patterns [J]. Pattern Recognition: The Journal of the Pattern Recognition Society 1999, 2(2).
[8] HARALICK R M, SHANMUGAM K, DINSTEIN I. Texture features for image classification [J]. IEEE Transactions on Systems Man and Cybernetics 1973, 8(06).
[9] TAMURA H, MORI S, YAMAWAKI T. Texture features corresponding to visual perception [J]. IEEE Transactions on Systems Man and Cybernetics 1978, 8(06).
[10] ROSENFELD A, THURSTON M. Edge and curve detection for visual scene analysis [J]. IEEE Transaction on Computer 1971, 20.
[11] HONG Z Q. Algebraic feature extraction of image for recognition [J]. Pattern Recognition 1991, 24(03).
[12] FREDRIC M HAM, ICICA KOSTANIC. Principles of neurocomputing for science and engineering [M]. McGraw-Hill, Inc 2003.
[13] Kirby M., Sirovich L.. Application of the Karhunen-Loeve procedure for the characterization of human faces [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 1990, 1(1).
[14] Kamran Etemad, Rama Chellappa. Discriminant analysis for recognition of human face images [J]. Journal of the Optical Society of America, A. Optics, image science, and vision 1997, 7/8(7/8).
[15] Belhumeur P.N., Hespanha J.P.. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 1997, 7(7).
[16] Jian Yang, Zhang D., Frangi A.F., Jing-yu Yang. Two-dimensional PCA: a new approach to appearance-based face representation and recognition [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 2004, 1(1).
[17] Ming Li, Baozong Yuan. 2D-LDA: A statistical linear discriminant analysis for image matrix [J]. Pattern recognition letters 2005, 5(5).
[18] WANG Liwei, WANG Xiao, FENG Jufu. On image matrix based feature extraction Algorithms [J]. IEEE Transactions on Systems Man and Cybernetics-Part B:Cybernetics 2006, 36(01).
[19] JUTTEN C, HERAULT J. Blind Separation of source, part I:an adaptive algorithm based on neuromimetic architecture [J]. Signal Processing 1991, 24.
[20] BELL A J, SEJNOWSKI T J. The independent components of natural scenes are edge filters [J]. Vision Research 1997, 37(23).
[21] Yuen PC., Lai JH.. Face representation using independent component analysis [J]. Pattern Recognition: The Journal of the Pattern Recognition Society 2002, 6(6).
[22] Bruce A. Draper, Kyungim Baek, Marian Stewart Bartlett, J. Ross Beveridge. Recognizing faces with PCA and ICA [J]. Computer vision and image understanding: CVIU 2003, 1/2(1/2).
[23] BAEK K, DRAPER B A, BEVERIDGE J R. PCA vs ICA:A comparison on the FERET data set [A]. Durham, NC 2002.
[24] MOGHADDAM B. Principal manifolds and probabilistic subspaces for visual recognition [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002, 24(06).
[25] LI G J, WAH B W. The design of optimal systolic arrays [J]. IEEE Transaction on Computer 1985, C-34.
[26] Rough sets, Neural networks, Feature extraction. Rough sets as a front end of neural-networks texture classifiers [J]. Neurocomputing 2001, 1/4(1/4).
[27] Roman W. Swiniarski, Andrzej Skowron. Rough set methods in feature selection and recognition [J]. Pattern recognition letters 2003, 6(6).
[28] GOUPILLAUD P, GROSSMANN A, MORLET J. Cycle octave and related transform in seismic signal analysis [J]. GEOEXPLORATION 1984, 23.
[29] Mallat S.G.. A theory for multiresolution signal decomposition: the wavelet representation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 1989, 7(7).
[30] MALLAT A. Multiresolution approximations and wavelet orthonormal bases of L2(R) [J]. Transactions of the American Mathematical Society 1989, 315.
[31] MEYER Y. Wavelets:their past and their future [J]. Progress in wavelet analysis and applications 1993, 11.
[32] GROSSMAN A, MORLET J. Decomposition of Hardy functions into square integrable wavelets of constant shape [J]. SIAM Journal on Mathematical Analysis 1984, 15.
[33] DAUBECHIES I. Orthonormal bases of compactly supported wavelets [J]. Communications on Pure and Applied Mathematics 1988, 41.
[34] Daubechies I.. The wavelet transform, time-frequency localization and signal analysis [J]. IEEE Transactions on Information Theory 1990, 5(5).
[35] Laine A., Fan J.. Texture classification by wavelet packet signatures [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 1993, 11(11).
[36] Pittner S., Kamarthi S.V.. Feature extraction from wavelet coefficients for pattern recognition tasks [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 1999, 1(1).
[37] S. Arivazhagan, L. Ganesan. Texture classification using wavelet transform [J]. Pattern recognition letters 2003, 9/10(9/10).
[38] Yu Tao, Ernest C.M. Lam, Yuan Y. Tang. Feature extraction using wavelet and fractal [J]. Pattern recognition letters 2001, 3/4(3/4).
[39] PUN CHI-MAN, LEE MOON-CHUEN. Extraction of shift invariant wavelet features for classification of images with different sizes [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 2004, 26(09).
[40] Pai-Hui Hsu. Feature extraction of hyperspectral images using wavelet and matching pursuit [J]. ISPRS journal of photogrammetry and remote sensing 2007, 2(2).
[41] Abdulkadir Sengur, Ibrahim Turkoglu, M. Cevdet Ince. Wavelet packet neural networks for texture classification [J]. Expert Systems with Application 2007, 2(2).
[42] Chih-Fong Tsai. Image mining by spectral features: A case study of scenery image classification [J]. Expert Systems with Application 2007, 1(1).
[43] Chunshien Li, Jyh-Yann Huang, Chih-Ming Chen. Soft computing approach to feature extraction [J]. Fuzzy sets and systems 2004, 1(1).

图像特征提取研究

Research on the Image Feature Extraction

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