Naslov
Using entropy information measures for edge detection in digital images

Autori
Sušanj, Diego ; Tuhtan, Vjeran ; Lenac, Luka ; Gulan, Gordan ; Kožar, Ivica ; Jeričević, Željko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on / Biljanović, P ; Butkovic, Ž ; Skala, K ; Mikac, B ; Čičin-Šain, M ; Sruk, V ; Ribarić, S ; Gros, S ; Vrdoljak, B ; Mauher, M ; Sokolić, A - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2015, 352-355

ISBN
978-953-233-085-4

Skup
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on

Mjesto i datum
Opatija, Hrvatska, 25.05.2015. - 29.05.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
edge detection ; entropy ; filtering theory

Sažetak
Shannon information entropy measures were used as filters of different kernel sizes to detect edges in digital images. The concept is based on communication theory with splitting of edge detection kernel into source and destination parts. The arbitrary shape of the kernel parts and the fact that information filter output is a real number with reduced problem of edge's continuity represents the major advantage of this approach. The results are compared with traditional edge detection algorithms like Sobel to illustrate performance and sensitivity of the information entropy filters. Besides the well known test image Lena, the real life examples are taken from medical X-Ray imaging of knee joints in order to illustrate the algorithm performance on real data.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA