Document Detail


The effect of color correction of endoscopy images for quantitative analysis in endometrium.
MedLine Citation:
PMID:  17282960     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
The objective of this study was to develop a standardized protocol for the capturing and analysis of endoscopy digital images for subsequent use in a Computer Aided Diagnosis (CAD) system in gynaecological cancer. Images were captured at optimum illumination and focus at 720x576 pixels using 24 bits color in the following cases: (i) for a variety of testing targets from a color palette with known color distribution, (ii) different viewing angles and distances from calf endometrium, and (iii) images from the human endometrium. Images were then gamma corrected and their classification performance was compared against that of nonqamma corrected images. No significant difference in texture features was found between the close up and panoramic views, and between angles, either before or after gamma correction. There was significant difference in certain texture features between normal and abnormal endometrium, both before and after gamma correction. Our findings suggest that proper color correction can significantly impact CAD system performance, and we recommend its application prior to quantitative texture analysis in gynaecological endoscopy.
Authors:
M Neophytou; C Pattichis; V Tanos; M Pattichis; E Kyriacou; D Koutsouris
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  3     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2005  
Date Detail:
Created Date:  2007-02-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3336-9     Citation Subset:  -    
Affiliation:
Department of Computer Science, University of Cyprus, Nicosia, Cyprus, mneoph@ucy.ac.cy.
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