Performance Analysis of Rough Reduct Algorithms in
Mammogram
K. Thangavel 1,
M. Karnan 2*,
A. Pethalakshmi 3
1: Department of Mathematics, Gandhigram Rural
Institute-Deemed University,
2: Department of computer science, Gandhigram Rural
Institute-Deemed University, Gandhigram-624302, Tamil
Nadu, India.
3: Department of Computer Science, Mother Teresa
Women’s University, Kodaikkanal, Tamil Nadu, India.
ABSTRACT
Microcalcification on x-ray mammogram is
a significant mark for early detection of breast cancer.
Texture analysis methods can be applied to detect
clustered microcalcification in digitized mammograms. In
order to improve the predictive accuracy of the
classifier, the original number of feature set is
reduced into smaller set using feature reduction
techniques. In this paper rough set based reduction
algorithms such as Decision Relative Discernibility
based reduction, Heuristic approach, Hu’s algorithm,
Quick Reduct (QR), and Variable Precision Rough Set (VPRS)
are used to reduce the extracted features. The
performance of all the algorithms is compared. The Gray
Level Co-occurrence Matrix (GLCM) is generated for each
mammogram to extract the Haralick features as feature
set. The reduction algorithms are tested on 161 pairs of
digitized mammograms from Mammography Image Analysis
Society (MIAS) database.
Keywords: Feature
reduction, Rough Sets, Mammogram-Breast Cancer
Biography:
 |
THANGAVEL
KUTTIANNAN, received the Master
of Science from Department of Mathematics, Bharathidasan
University in 1986, and Master of Computer Applications
Degree from Madurai Kamaraj University, India
in 2001. He got his Ph. D. Degree from Mathematics
department, Gandhigram Rural Institute-Deemed
University in 1999. Currently he is working as
Reader in Mathematics Department, Gandhigram Rural
Institute-Deemed University, and his experience
started from 1988; His area of interests includes
medical image processing, artificial intelligence,
neural network, and fuzzy logic.
ktvel@rediffmail.com |
 |
KARNAN
MARCUS, received the Master of
Computer Science and Engineering Degree from Computer
Science and Engineering Department, from Government
College of Engineering, Manonmaniam Sundaranar
University, Tamil Nadu, India, in 2000. Currently
he is working as Assistant Professor, Department
of Computer Science & Engineering Department,
RVS College of Engineering & Technology, Tamil
Nadu, India. And doing part-time research in the
Department of computer Science and Applications,
Gandhigram Rural Institute-Deemed University,
Tamil Nadu, India. His area of interests includes
medical image processing, artificial intelligence,
neural network, genetic algorithm, pattern recognition
and fuzzy logic.
Postal Address: 153, Palayam, Palani, Dindigul
Dt, Tamil Nadu, India – 624601.
Fax.No:91-4551-227229,91-4551-227230,
Telephone.No:91-4551-227229,91-4551-2272.
|
 |
PETHALAKSHMI ANNAMALAI,
received the Master of Computer Science from
Alagappa University, Tamil Nadu, India, in 1988 and
received the Master of Philosophy in Computer
Science from Mother Teresa Women’s University, Tamil
Nadu, India, in 2000. Currently she is working as
Selection Grade Lecturer, Department of Computer
Science, M.V.M. Govt. Arts College (w), Dindigul,
Tamil Nadu, India. And doing full-time research in
the Department of Computer Science, Mother Teresa
Women’s University, Tamil Nadu, India. Her areas of
interests include fuzzy, rough set and neural
network. |
BibTex:
@ARTICLE{P1150545008,
AUTHOR = {K.Thangavel and M.Karnan and A. Pethalakshmi},
TITLE = {Performance Analysis of Rough Reduct Algorithms in Mammogram},
JOURNAL = {ICGST International Journal on Graphics, Vision and Image Processing},
YEAR = {2005},
MONTH={August},
ISSUE = {V8},
PAGES = {13--21}
}
(  Full
Paper, 562 KB)
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