Image Processing Reference
In-Depth Information
focus more on practical, working, image processing systems. But it is rather naive to
classify journals in this way, since all journals welcome good research, with new ideas,
which has been demonstrated to satisfy promising objectives.
The main research journals include:
IEEE Transactions on
:
Pattern Analysis and Machine
Intelligence
(in later references this will be abbreviated to
IEEE Trans. on PAMI
);
Image
Processing
(
IP
)
; Systems, Man and Cybernetics
(
SMC
); and
Medical Imaging
(there are
many more IEEE transactions, some of which sometimes publish papers of interest in
image processing and computer vision). The
IEEE Transactions
are usually found in
(university) libraries since they are available at comparatively low cost.
Computer Vision
and Image Understanding
and
Graphical Models and Image Processing
arose from the
splitting of one of the subject's earlier journals,
Computer Vision, Graphics and Image
Processing
(
CVGIP
)
,
into two parts. Do not confuse
Pattern Recognition
(
Pattern Recog
.)
with
Pattern Recognition Letters
(
Pattern Recog
.
Lett.
), published under the aegis of the
Pattern Recognition Society and the International Association of Pattern Recognition,
respectively, since the latter contains shorter papers only. The
International Journal of
Computer Vision
is a more recent journal whereas
Image and Vision Computing
was established
in the early 1980s. Finally, do not miss out on the
IEE Proceedings - Vision, Image and
Signal Processing
and
IEE Proceedings - Digital Techniques
.
Some of the journals are now on-line but usually to subscribers only, in the UK through
Ingenta through BIDS (you need an account at Bath Information and Data Services at
http://www.bids.ac.uk/
). Academic Press appear to be mostly on-line now, including
Computer Vision and Image Understanding
,
Graphical Models and Image Processing
and
Real-Time Imaging
at
http://www.apnet.com/www/journal/iv.htm, http:/
/www.apnet.com/www/journal/ip.htm
, and
http://www.
academicpress.com/rti
respectively.
1.6.2
Textbooks
There are many textbooks in this area. Increasingly, there are web versions, or web support,
as summarised in Table
1.4
. This text aims to start at the foundation of computer vision,
and ends very close to a research level. Its content specifically addresses techniques for
image analysis, considering shape analysis in particular. Mathcad and Matlab are used as
a vehicle to demonstrate implementation, which is rarely considered in other texts. But
there are other texts, and these can help you to develop your interest in other areas of
computer vision.
This section includes only a selection of some of the texts. There are more than these,
some of which will be referred to in later chapters; each offers a particular view or insight
into computer vision and image processing. The
introductory texts
include: Fairhurst,
M. C.:
Computer Vision for Robotic Systems
(Fairhurst, 1988); Low, A.:
Introductory
Computer Vision and Image Processing
(Low, 1991); Teuber, J.:
Digital Image Processing
(Teuber, 1993); and Baxes, G. A.:
Digital Image Processing, Principles and Applications
(Baxes, (1994) which includes software and good coverage of image processing hardware.
Some of the
main textbooks
include: Marr, D.:
Vision
(Marr, 1982) which concerns
vision and visual perception (as previously mentioned); Jain, A. K.:
Fundamentals of
Computer Vision
(Jain, 1989) which is stacked with theory and technique, but omits
implementation and some image analysis; Sonka, M., Hllavac, V. and Boyle, R.
Image
Processing, Analysis and Computer Vision
(Sonka, 1998) offers more modern coverage of
computer vision including many more recent techniques, together with pseudocode
