This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
1.9 Further Readings
C. M. Bishop. Neural Networks for Pattern Recognition. Clarendon, Oxford, 1995.
R. Chelappa. Digital Image Processing. IEEE Computer Society Press, Los Alamitos, CA, 1992.
C. Demant, B. Streicher-Abel, and P. Waszkewitz. Industrial Image Processing. Viusal Quality Control in Manufacturing. Springer, Berlin, 1999. Includes CD-ROM.
R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wlley, New York, 2nd edn., 2001.
O. Faugeras. Three-dimensional Computer Vision. A Geometric Vewpoint. MIT Press, Cambridge, MA, 1993.
O. Faugeras and Q.-T. Luong. The Geometry of Multiple Images. MIT Press, Cambdridge, MA, 2001.
M. A. Fischler and O. Firschein, eds. Readings in Computer Vision: Issues, Problems, Principles, and Paradigms. Morgan Kaufmann, Los Altos, CA, 1987.
D. A. Forsyth and J. Ponce. Computer Vision, a Modern Approach. Prentice Hall, Upper Saddle River, NJ, 2003.
R. C. Gonzalez and R. E. Woods. Digital image processing. Prentice Hall, Upper Saddle River, NJ, 2nd edn., 2002.
G. H. Granlund and H. Knutsson. Signal Processing for Computer Vision. Kluwer, 1995.
E. M. Haacke, R. W. Brown, M. R. Thompson, and R. Venkatesan. Magnetic Resonance Imaging: Physical Principles and Sequence Design. John Wiley & Sons, New York, 1999.
G. C. Holst. CCD Arrays, Cameras, and Displays. SPIE, Bellingham, WA, 2nd edn., 1998.
B. K. Horn. Robot Vision. MIT Press, Cambridge, MA, 1986.
S. Howell. Handbook of CCD Astronomy. Cambridge University Press, Cambridge, 2000.
B. Jähne. Handbook of Digital Image Processing for Scientific Applications. CRC Press, Boca Raton, FL, 1997.
B. Jähne, H. Haußecker, and P. Geißler, eds. Handbook of Computer Vision and Applications. Volume I: Sensors and Imaging. Volume II: Signal Processing and Pattern Recognition. Volume III: Systems and Applications. Academic Press, San Diego, 1999. Includes three CD-ROMs.
A. K. Jain. Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs, NJ, 1989.
R. Jain, R. Kasturi, and B. G. Schunck. Machine Vision. McGraw-Hill, New York, 1995.
J. R. Janesick. Scientific Charge-Coupled Devices. SPIE, Bellingham, WA, 2001.
B. Y. Kasturi and R. C. Jain. Computer Vision: Advances and Applications. IEEE Computer Society, Los Alamitos, 1991.
B. Y. Kasturi and R. C. Jain, eds. Computer Vision: Principles. IEEE Computer Society, Los Alamitos, 1991.
M. Levine. Vision in Man and Machine. McGraw-Hill, New York, 1985.
Z.-P. Liang and P. C. Lauterbur. Principles of Magnetic Resonance Imaging: A Signal Processing Perspective. SPIE, Bellingham, WA, 1999.
J. S. Lim. Two-dimensional Signal and Image Processing. Prentice-Hall, Englewood Cliffs, NJ, 1990.
H. A. Mallot. Computational Vision: Information Processing in Perception and Visual Behavior. The MIT Press, Cambridge, MA, 2000.
D. G. Mitchell and M. S. Cohen. MRI Principles. Saunders, Philadelphia, 2nd edn., 2004.
V. S. Nalwa. A Guided Tour of Computer Vision. Addison-Wesley, Reading, MA, 1993.
J. Ohser and F. Mücklich. Statistical Analysis of Microstructures in Material Science. Wiley, Chicester, England, 2000.
J. R. Parker. Algorithms for Image Processing and Computer Vision. John Wiley & Sons, New York, 1997. Includes CD-ROM.
I. Pitas. Digital Image Processing Algorithms. Prentice Hall, New York, 1993.
W. K. Pratt. Digital image processing, PIKS Inside. Wiley, New York, 3rd edn., 2001.
J. A. Richards and X. Jia. Remote Sensing Digital Image Analysis. Springer, Berlin, 1999.
A. Rosenfeld and A. C. Kak. Digital Picture Processing, vol. I and II. Academic Press, San Diego, 2nd edn., 1982.
J. C. Russ. The Image Processing Handbook. CRC, Boca Raton, FL, 4th edn., 2002.
B. Schöllkopf and A. J. Smola. Learning with Kernels, Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, 2002.
J. R. Schott. Remote Sensing. The Image Chain Approach. Oxford University Press, New York, 1997.
J. Schürmann. Pattern Classification. John Wiley & Sons, New York, 1996.
L. G. Shapiro and G. C. Stockman. Computer Vision. Prentice Hall, Upper Saddle River, NJ, 2001.
S. Ullman. High-level Vision. Object Recognition and Visual Cognition. The MIT Press, Cambridge, MA, 1996.
S. E. Umbaugh. Computer Vision and Image Processing: A Practical Approach Using CVIPTools. Prentice Hall PTR, Upper Saddle River, NJ, 1998.
F. van der Heijden. Image Based Measurement Systems. Object Recognition and Parameter Estimation. Wiley, Chichester, England, 1994.
K. Voss and H. Süße. Praktische Bildverarbeitung. Hanser, München, 1991.
B. A. Wandell. Foundations of Vision. Sinauer Ass., Sunderland, MA, 1995.
J. N. Wilson and G. X. Ritter. Handbook of Computer Vision Algorithms in Image Algebra. CRC, Boca Raton, FL, 2nd edn., 2000.
Rights and permissions
Copyright information
© 2005 Springer-Verlag
About this chapter
Cite this chapter
(2005). Applications and Tools. In: Digital Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27563-0_1
Download citation
DOI: https://doi.org/10.1007/3-540-27563-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24035-8
Online ISBN: 978-3-540-27563-3
eBook Packages: EngineeringEngineering (R0)