DocumentCode :
548959
Title :
Automatic registration of printed analog screen-film mammograms
Author :
Mustra, Mario ; Mileta, Danijel ; Grgic, Mislav
Author_Institution :
Fac. of EE & Comp, Univ. of Zagreb, Zagreb, Croatia
fYear :
2011
fDate :
16-18 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
Computer aided detection (CAD) in mammography relies on accurate image segmentation. If we consider using CAD on non-digital mammograms, one of the steps which need to be performed is scanning. After scanning, images have to be segmented and this is more complicated than segmentation of digital mammograms. In this paper we propose a method for automatic registration of printed and scanned mammograms. This process allows efficient manual segmentation which gives as accurate as possible results. To translate manual segmentation results performed by radiologists from paper to digital format, image needs to be registered. Manual image registration generally takes too much time and therefore is not as efficient as automatic. This paper considers automatic registration of scanned images using Hough transform. Accurate detection and alignment of marker lines on scanned images gives the correct angle of rotation, as well as translation and resizing coefficient.
Keywords :
Hough transforms; diagnostic radiography; image registration; image segmentation; mammography; medical image processing; CAD; Hough transform; automatic mammogram registration; computer aided detection; image segmentation; marker line alignment; marker line detection; nondigital mammograms; printed analog screen film mammograms; resizing coefficient; translation coefficient; Accuracy; Image registration; Image segmentation; Manuals; Pixel; Printing; Transforms; Computer Aided Detection; Hough Transform; Image Registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on
Conference_Location :
Sarajevo
ISSN :
2157-8672
Print_ISBN :
978-1-4577-0074-3
Type :
conf
Filename :
5977364
Link To Document :
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