Pregled bibliografske jedinice broj: 520316
Automatic Registration of Printed Analog Screen-Film Mammograms
Automatic Registration of Printed Analog Screen-Film Mammograms // PROCEEDINGS IWSSIP 2011 / Zovko-Cihlar, Branka ; Behlilović, Narcis ; Hadžialić, Mesud (ur.).
Sarajevo: Faculty of Electrical Engineering, University Sarajevo, 2011. str. 391-394 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 520316 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Automatic Registration of Printed Analog Screen-Film Mammograms
Autori
Muštra, Mario ; Mileta, Danijel ; Grgić, Mislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
PROCEEDINGS IWSSIP 2011
/ Zovko-Cihlar, Branka ; Behlilović, Narcis ; Hadžialić, Mesud - Sarajevo : Faculty of Electrical Engineering, University Sarajevo, 2011, 391-394
ISBN
987-9958-9966-1-0
Skup
18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011
Mjesto i datum
Sarajevo, Bosna i Hercegovina, 16.06.2011. - 18.06.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Image Registration; Hough Transform; Computer Aided Detection
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0361630-1635 - Upravljanje kvalitetom slike u radiodifuziji digitalnog videosignala (Grgić, Sonja, MZO ) ( CroRIS)
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb