MS Thesis
LIBRARY FOR ORGANIZATION OF IMAGE RECOGNITION SYSTEMS
by
Alexander Shyrokov
under supervision of Dr. Messner
University of New Hampshire, September, 2002
Abstract
In
many recognition problems it is possible to divide the recognition task
into a collection of separate processes. This thesis develops a method
that simplifies the creation of automatic recognition systems. Formal
separation of different algorithm steps was performed and an interface
for communicating between each step was developed. Inorder to evaluate
the robustness of the proposed method, the algorithms developed by Mr.
Tony Pawlak (M.S. UNH ECE 1998) in his thesis work on automatic human
brain cell recognition were implemented. The original human brain cell
recognition research was done using Matlab software. After the original
recognition process was ported into the proposed standard, improvements
were made to demonstrate how the designed system could be extended and
modified. To demonstrate how a "new" recognition task could be
implemented a different recognition problem was chosen: the counting of
bacteria in a pure culture. Documented examples show that the proposed
method and standards simplify the organization, execution, and
maintenance of the recognition procedures. Developed in this thesis is a
ready to use library for various algorithms with examples and
documentation as well as a full discussion on how researchers can
develop their own modules for inclusion.Complete documentation on
standards and interfacing is included in appendices.Disclaimer
Copyright (c) 2002 Alexander Shyrokov
Permission
to use, copy, modify and distribute the contests of this web-site for
non-commercial purpose is hereby granted without fee, provided that (i)
the above copyright notices and this permission notice appear inall
copies of the software and related documentation, and (ii) the name of
Alexander Shyrokov may not be used in any advertising or publicity
relating to the software without the specific, prior written permission
of Alexander Shyrokov.For commercial use of the source code or
parts of the source code for this thesis,written permission of
Alexander Shyrokov is required!
THE SOFTWARE IS PROVIDED "AS-IS"
AND WITHOUT WARRANTY OF ANY KIND, EXPRESS, IMPLIED OR OTHERWISE,
INCLUDING WITHOUT LIMITATION, ANY WARRANTY OF MERCHANTABILITY OR
FITNESS FOR A PARTICULAR PURPOSE.
IN NO EVENT SHALL ALEXANDER SHYROKOV BE LIABLE FOR ANY SPECIAL, INCIDENTAL, INDIRECT OR
CONSEQUENTIAL DAMAGES OF ANY KIND,OR ANY DAMAGES WHATSOEVER RESULTING
FROM LOSS OF USE, DATA OR PROFITS,WHETHER OR NOT ADVISED OF THE
POSSIBILITY OF DAMAGE, AND ON ANY THEORY OF LIABILITY, ARISING OUT OF
OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
Downloads
Thesis pdf file (2Mb) Mirror
Presentation pdf file (1.5Mb) Mirror
Binaries (Win32, 6Mb) Mirror
Source code (STLport, TIFF lib and samples are not included) (Win32, 1Mb) Mirror
Samples (2.5Mb) Mirror
STLport 4.5 sources (1Mb) Mirror
TIFF lib sources (1Mb) Mirror
Screen shot
Other links
University of New Hampshire
The Synthetic Vision and Pattern Analysis Laboratory
Department of Computer and Electrical Engineering
