I'm working in the field of image processing and computer vision for a
little time now but the lack of good reference book on my desk becomes
more and more important as i explore the domain...
I'm looking for a book that would be a strong reference, discussing a
wide range of topics, and which would be enough up to date to benefit
the latest algorithms and theories.
Ideally the following topics would be treated : computer vision,
perspective geometry (3d->2d, homogenious coordinates...), filters,
morphology, feature detection, shape/pattern analysis, deconvolution,
and i must miss some others... some machine learning would be great but
maybe the occasion for a second book...
I thought you may have ideas of good books or at least authors to give.
Thanks in advance !
Digital Image Processing by Gonzales & Woods (?)
Regards,
P.
The "bible" is:
Digital Image Processing, 2nd Edition
by William K. Pratt, 1991
ISBN: 0471857661
Or:
Digital Image Processing: PIKS Inside, 4th Edition
by William K. Pratt, 2006
ISBN: 0-471-76777-8
--
Regards,
Martin Leese
E-mail: ple...@see.Web.for.e-mail.INVALID
Web: http://members.tripod.com/martin_leese/
Martin Leese napisal(a):
> The "bible" is:
> Digital Image Processing, 2nd Edition
> by William K. Pratt, 1991
> ISBN: 0471857661
>
> Or:
> Digital Image Processing: PIKS Inside, 4th Edition
> by William K. Pratt, 2006
> ISBN: 0-471-76777-8
>
Why not 3rd one? I have this one :) Is there something wrong with the
3rd edition?
Cheers
Maciek
I'll agree with others on Gonzalez and Woods and Pratt (Digital Image
Processing); I have the 1991 ed. of Pratt; the later ed. was very
expensive and didn't appear to offer much more --- but I could be
wrong. Another nice image processing book is Castleman, Digital Image
Processing, 1996. For a particular mathematical slant, A.K. Jain,
Fundamentals of Digital Image Processing, Prentice Hall, 1989. The
Gonzalez and Woods book has a Matlab edition.
None of those covers projective (perspective) geometry (I assume the
application is 3D vision); for that my strong recommendation would be
Hartley and Zisserman, Multiple View Geometry in Computer Vision,
Cambridge U.P., 2004; but be careful not to get too entangled or
depressed while reading chapter 1. Trucco and other (?) seems to be
highly recommended; and Faugeras and Quang-Tuan Luong, The Geometry of
Multiple Images, MIT Press, 2001 may be worth a look.
Pattern recognition is another branch: Bishop, Neural Networks for
Pattern Recognition, 1995; Duda, Hart and Stork, Pattern
Classification, 2001 (or the 1973 ed. of Duda and Hart); Ripley,
Pattern Recognition and Neural Networks. Personally, I like the very
succinct Therrien, Decision , Estimation and Classification, Wiley,
1989 (but that seems to have been out of print for a long time).
Good luck,
Jon C.