Document Detail


MRT letter: Quantum noise removal and classification of breast mammogram images.
MedLine Citation:
PMID:  23034955     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Because of the limitations of the X-ray hardware systems in mammogram machines, the quality of the breast mammogram images may undergo from poor resolution or low contrast. Quantum noise occurs in the mammogram images during acquisition due to low-count X-ray photons. In this work, an adaptive frost filter has been used to remove quantum noise. Local binary patterns have been extracted to classify breast mammograms into benign and malignant using different classifiers. Results show the superiority of the proposed algorithm in terms of sensitivity, specificity, and accuracy. Mammographic Institute Society Analysis database of mammography has been used for experimentation. Peak signal-to-noise ratio and structural similarity index measure are used to test the validity of adaptive frost filter. Experiment results show that proposed technique produces better results. Microsc. Res. Tech. 2012. © 2012 Wiley Periodicals, Inc.
Authors:
M Talha Naseem; Ghazali Bin Sulong; M Arfan Jaffar
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Publication Detail:
Type:  LETTER     Date:  2012-10-4
Journal Detail:
Title:  Microscopy research and technique     Volume:  -     ISSN:  1097-0029     ISO Abbreviation:  Microsc. Res. Tech.     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9203012     Medline TA:  Microsc Res Tech     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Wiley Periodicals, Inc.
Affiliation:
College of Science Research Centre, King Saud University, Riyadh, Saudi Arabia; Faculty of Computer Science and Information Systems, Universiti Teknologi, Malaysia.
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