Pregled bibliografske jedinice broj: 954080
A Fast One-Pixel Wide Contour Detection Method for Shapes Contour Traversal in Binary Images
A Fast One-Pixel Wide Contour Detection Method for Shapes Contour Traversal in Binary Images // PROCEEDINGS OF International Conference on Smart Systems and Technologies 2018(SST 2018)
Osijek: Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 11-14 doi:10.1109/SST.2018.8564595 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 954080 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Fast One-Pixel Wide Contour Detection Method for Shapes Contour Traversal in Binary Images
Autori
Leventić, Hrvoje ; Keser, Tomislav ; Vdovjak, Krešimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
PROCEEDINGS OF International Conference on Smart Systems and Technologies 2018(SST 2018)
/ - Osijek : Institute of Electrical and Electronics Engineers (IEEE), 2018, 11-14
ISBN
978-1-5386-7189-4
Skup
International Conference on Smart Systems and Technologies 2018(SST 2018)
Mjesto i datum
Osijek, Hrvatska, 10.10.2018. - 12.10.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Contour tracing ; contour detection ; binary image
Sažetak
Contour detection is an important step in contour based object analysis in 2D images. We present a novel method for contour detection optimized for contour traversal tasks in 2D images. The method is based on morphological operations and detects a one-pixel wide contour around objects in binary images. Performance of the method is evaluated on ground truth images from our dataset created by manually tracing the contour in images. Proposed method achieves high DICE coefficient overlap to ground truth images and superior detection compared to other state-of-the-art methods.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek