参考文献：
1.
朱志刚，数字图象处理，清华大学计算机系，1998.7
2.
K. R.
Castleman, Digital Image Processing, 清华大学出版社& Prentice Hall,1998.
3.
K. R.
Castleman, (朱志刚、林学闫、石定机等译), 数字图象处理，电子工业出版社& Prentice
Hall, 1998.
4. Milan Sonka, Vaclav Hlavac, and Roger Boyle, Image processing, analysis, and machine vision , Chapman & Hall Computing, London, 1993. (网上消息：现在有更新的版本（第二版），2nd Edition, Brooks/Cole Publishing,1999.)
5. Daisheng Luo, Pattern recognition and image processing, Chichester, Horwood Publishing, 1998
6.
崔屹，数字图象处理技术与应用，电子工业出版社，1997.3
7. 吕风军，数字图象处理编程入门，清华大学出版社，1999.9
8. 周长发，精通Visual C++图像编程，电子工业出版社，2000.1
清华大学图书馆的其它参考文献：
9. 章毓晋，图象工程 (上册) 图象处理和分析，清华大学出版社, 北京，1999
10.Edward Dougherty (ed.), Mathematical morphology in image processing, M. Dekker, New York, 1993.
11.崔屹，图象处理与分析---数学形态学方法与应用，科学出版社，北京
12.Theo Pavlidis, Algorithms for Graphics and Image Processing, Computer Science Press Inc., 11 Taft Court, Rockville, MD 20850, 1982.
13.Ferdinand van der Heijden, Image based measurement systems: object recognition and parameter estimation, John Wiley & Sons, Chichester, 1994.
14.Ning Lu, Fractal imaging, Academic Press, San Diego, 1997
15.Cornelius T. Leondes (ed), Image processing and pattern recognition, Calif. Academic press, San Diego, 1998
16.Sing-Tze Bow, Pattern recognition and image preprocessing, M. Dekker, New York, 1992
17.Rama Chellappa, Digital image processing, IEEE Computer Society Press, Los Alamitos, Calif., 1992.
18.William K. Pratt., Digital image processing, Wiley, New York, 1991.
19.Ioannis Pitas, Digital image processing algoriths, Prentice Hall, New York, 1993.
20.S.J. Sangwine and R.E.N. Horne (eds), The colour image processing handbook, Chapman & Hall, London; New York, 1998
21.Linda Shapiro, Azriel Rosenfeld (eds), Computer vision and image processing, Academic Press, Boston, 1992.
22.Bernd Jahne, Digital image processing : concepts, algorithms, and scientific applications, Springer-Verlag, New York, 1991.
23.Bernd Jahne, Spatio-temporal image processing : theory and scientific applications, Springer-Verlag, Berlin, 1993.
24.H.I. Christensen, J.L. Crowley, Experimental environments for computer vision and image processing, World Scientific, Singapore, 1994.
25.Anil K. Jain, Fundamentals of digital image processing, Prentice Hall, Englewood Cliffs, NJ, 1989.
26.Louis J. Galbiati, Machine vision and digital image processing fundamentals, Prentice Hall, Englewood Cliffs, N.J., 1990.
27.Jean Serra and Pierre Soille (eds), Mathematical morphology and its applications to image processing, Kluwer Academic Publishers, Boston, 1994.
28.Henk J.A.M. Heijmans and Jos B.T.M. Roerdink (eds), Mathematical morphology and its applications to image and signal processing, Kluwer, Dordrecht ; Boston, 1998.
29.M. Ibrahim Sezan, Reginald L. Lagendijk (eds), Motion analysis and image sequence processing, Kluwer Academic Publishers, Boston, 1993.
30.Rhys Lewis, Practical digital image processing, Ellis Horwood, New York, 1990.
31.Tomasz Szoplik (ed), Selected papers on morphological image processing: principles and optoelectronic implementations, SPIE Optical Engineering Press, Bellingham, Wash., 1996
32.Jae S. Lim, Two-dimensional signal and image processing, Prentice Hall, Englewood Cliffs, N.J., 1990.
33.L. Prasad and S.S. Iyengar, Wavelet analysis with applications to image processing, BCRC Press, oca Raton, 1997
34.Borko Furht, Stephen W. Smoliar, HongJiang Zhang, Video and image processing in multimedia systems, Kluwer Academic Publishers, Boston ,1995.
35.Vasudev Bhaskaran, Konstantinos Konstantinides, Image and video compression standards: algorithms and architectures, Kluwer Academic Publishers, Boston, 1995.
36.G. Tziritas, C. Labit, Motion analysis for image sequence coding, Elsevier, New York, 1994.
37.Stephen Maybank, Theory of reconstruction from image motion, Springer-Verlag, Berlin, 1993.
38.Zhengyou Zhang, Olivier Faugeras, 3D dynamic scene analysis : a stereo based approach, Springer-Verlag, Berlin, 1992.
39.Nicholas Ayache, Artificial vision for mobile robots : stereo vision and multisensory perception, MIT Press, Cambridge, Mass., 1991.
其它书籍：Pattern Recognition Books （Delft Pattern Recognition Group）：
o Books of Historical Interest
--------------------------------------------------------------------------------
Books on
Image Processing and Vision
H. Bassmann, P.W. Besslich, Digital Image Processing, Thomson, 1997.
T. Lindeberg, Scale-space theory in computer vision, Kluwer Academic
Publishers, 1994
V.S. Nalwa, A guided tour of computer vision, Addision-Wesley, 1993.
Pitas, Digital image processing algorithms, Prentice-Hall, Englewood
Cliffs, 1993.
Rafael C. Gonzalez and Richard E. Woods, Digital Imaging Processing,
Addison-Wesley, Reading, Massachusetts, USA, 1992.
R.M. Haralick and L.G. Shapiro, Computer and robot vision, volume I,
Addison-Wesley, Reading, 1992.
R.M. Haralick and L.G. Shapiro, Computer and robot vision, volume
II, Addison-Wesley, Reading, 1993.
J.C. Russ, The Image Processing Handbook, CRC Press, Inc., Boca
Raton, Ann Arbor, London, Tokyo, 1992.
D. Vernon, Machine vision - Automated visual inspection and robot
vision, Prentice Hall, New York, 1991. W.K. Pratt, Digital Image Processing
(second edition), John Wiley & Sons, New York, 1991.
L.J. Galbiati, Jr, Machine vision and digital image processing
fundamentals, Prentice-Hall International, Inc, Englewood Cliffs, 1990.
M. Ejiri, Machine vision - A practical technology for advanced image
processing, Gordon and Breach Science Publishers, New York, 1989.
J.C. Simon, From pixels to features, North Holland, Amsterdam, 1989.
Jan Teubner, Digital Image Processing, Prentice Hall, Copenhagen,
1989.
A.K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall,
Englewood Cliffs, 1989.
B.K.P. Horn, Robot Vision, MIT Press, Cambridge, 1987.
M.J.B. Duff and T.J. Fountain, Cellular logic image processing, Academic
Press, London, 1986.
John C. Russ, Practical Stereology, Plenum Press, New York, 1986.
D.E. Dudgeon and R.M. Mersereau, Multidimensional digital signal
processing, Prentice-Hall, Inc, Englewood Cliffs, 1984.
Rosenfeld and A.C. Kak, Digital picture processing, volume 1,
Academic Press, Orlando, 1982.
Rosenfeld and A.C. Kak, Digital picture processing, volume 2,
Academic Press, Orlando, 1982.
J. Serra, Image analysis and mathematical morphology, Academic
Press, London, 1982.
D.H. Ballard and C.M. Brown, Computer vision, Prentice-Hall,
Englewood Cliffs, 1982.
D. Marr, Vision, W.H. Freeman and Company, San Fransisco, 1982.
Books on Pattern
Recognition
T.M. Mitchell, Machine learning, Mc Graw-Hill, New York, 1997.
J. Schurmann, Pattern classification, a unified view of statistical
and neural approaches, John Wiley & Sons, New York, 1996.
V.N. Vapnik, The Nature of Statistical Learning Theory,
Springer,1996.
B. Ripley, Pattern Recognition and Neural Networks, Cambridge
University Press, Cambridge, 1996.
C.M. Bishop, Neural Networks for Pattern Recognition, Clarendon
Press, Oxford, 1995.
D. Paulus and J. Hornegger, Pattern Recognition and Image Processing
in C++, Vieweg, Braunschweig, 1995.
J.R. Quinlan, C4.5: Programs for machine learning, Morgan Kaufmann
Publishers, San Mateo, California, 1993.
Robert Schalkhoff, Pattern Recognition, statistical, structural and
neural approaches, John Wiley and Sons, New York, 1992.
G.J. McLachlan, Discriminant Analysis and Statistical Pattern
Recognition, John Wiley and Sons, New York, 1992.
S.M. Weiss and C.A. Kulikowski, Computer Systems that Learn, Morgan
Kaufmann, San Mateo, California, 1991.
K. Fukunaga, Introduction to Statistical Pattern Recognition (Second
Edition), Academic Press, New York, 1990.
Y.H. Pao, Adaptive Pattern Recognition and Neural Networks, Addison
Wesley, Reading, Massachusetts, 1989.
Satoshi Watanabe, Pattern Recognition, Human and Mechanical, John
Wiley & Sons, New York, 1985.
T.Y. Young and K.S. Fu, Handbook of Pattern Recognition and Image
Processing, Academic Press, Orlando, Florida, 1986.
L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone,
Classification and regression trees, Wadsworth, California, 1984.
P.A. Devijver and J. Kittler, Pattern Recognition, a Statistical
Approach, Prentice Hall, Englewood Cliffs, London, 1982.
R.C. Gonzalez and M.G. Thomason, Syntactic pattern recognition - An
introduction, Addison-Wesley, Reading, 1982.
J. Sklanski and G.N. Wassel, Pattern Classifiers and Trainable
Machines, Springer, New York, 1981.
. R.O. Duda and P.E. Hart, Pattern classification and scene analysis,
John Wiley & Sons, New York, 1973.
(A second edition is being prepared by David Stork)
T. Kohonen, Self-Organizing Maps, Springer, Berlin, 1995, 1997.
LiMin Fu, Neural Networks in Computer Intelligence, McGraw-Hill,
Inc., New York, NY, 1994.
S. Haykin, Neural Networks, A Comprehensive Foundation, Macmillan,
New York, NY, 1994.
S.Y. Kung, Digital Neural Networks, Prentice Hall, Englewood Cliffs,
NJ, 1993.
Stephen I. Gallant, Neural Network Learning and Expert systems,
Massachusetts Inst. of Technology, Cambridge, Massachusetts, 1993.
Cichocki and R. Unbehauen, Neural Networks for Optimization and
Signal Processing, John Wiley & Sons, New York, 1993.
J.M. Zurada, Artificial Neural Systems, West Publishing, St. Paul,
MN, 1992.
Muller and J. Reinhardt, Neural networks, an introduction,
Springer-Verlag, Berlin, 1991.
P.D. Wasserman, Neural Computing, theory and practice, Van Nostrand
Reinhold, New York, 1989.
John Hertz, Anders Krogh, and Richard G. Palmer, Introduction to the
Theory of Neural Computation, Addison Wesley Publ. Comp., Redwood City ,CA.
Aleksander, Neural Computing Architectures, North Oxford Academic,
London, 1989.
S. Grossberg, The Adaptive Brain I: Cognition, Learning,
Reinforcement, and Rythm, Elsevier/North Holland, Amsterdam, 1987.
S. Grossberg, The Adaptive Brain II: Vision, Speech, Language and
Motor Control, Elsevier/North Holland, Amsterdam, 1987.
K. Fukunaga, Introduction to Statistical Pattern Recognition (First
Edition), Academic Press, New York, 1972.
J.M. Mendel and K.S. Fu, Adaptive, learning, and pattern recognition
systems: theory and applications, Academic Press, New York, 1970.
M. Minsky and S. Papert, Perceptrons: An Introduction to
Computational Geometry, MIT Press, Cambridge, Mass, 1969.
A.G. Arkadev and E.M. Braverman, Teaching Computers to Recognize
Patterns, Academic Press, London, 1966.
Nilsson, N.J., Learning Machines, McGraw-Hill, New York, 1965.
G.S. Sebestyen, Decision-Making Processes in Pattern Recognition,
Macmillan, New York, 1962.
Rosenblatt, F., Principles of Neurodynamics: Perceptrons and the
theory of brain mechanisms, Spartan Books, Washington, D.C., 1962.
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计算机视觉文献索引目录：
Annotated Computer Vision Bibliography: Table of Contents
--------------------------------------------------------------------------------
在线讲义：
- I.T. Young, J.J. Gerbrands, J. van Vliet, Delft
University, The Netherlands，
Image Processing Fundamentals(图象处理基础)
Web Address：http://www.ph.tn.tudelft.nl/Courses/FIP
- Milan Sonka, University of Iowa，
Web
Address：http://www.engineering.uiowa.edu/~dip/LECTURE/contents.html
- Clifford Watson,Department
of Applied Mathematics, University of Washington, Seattle, Washington 98195
An Image Processing Tutorial for Beginning Undergraduate Students(图象处理入门)
Web Address：http://www.cs.washington.edu/research/metip/tutor/tutor.html
清华大学计算机系 艾海舟
最近修改时间：2000年4月4日