Pregled bibliografske jedinice broj: 525129
A novel image similarity measure for image registration
A novel image similarity measure for image registration // Proceedings of the Seventh Int'l Symposium on Image and Signal Processing and Analysis / Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir (ur.).
Zagreb: Sveučilište u Zagrebu, 2011. str. 195-199 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 525129 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A novel image similarity measure for image registration
Autori
Kalinić, Hrvoje ; Lončarić, Sven ; Bijnens, Bart
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Seventh Int'l Symposium on Image and Signal Processing and Analysis
/ Lončarić, Sven ; Ramponi, Gianni ; Seršić, Damir - Zagreb : Sveučilište u Zagrebu, 2011, 195-199
Skup
ISPA 2011
Mjesto i datum
Dubrovnik, Hrvatska, 04.09.2011. - 06.09.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
image; similarity measure; registration
Sažetak
The image similarity measure is very important to determine the correspondence between images in order to quantify the accuracy of image registration. The selection of the image similarity measure requires a trade-off between speed and performance. In the current state of the art, fast similarity measures are unable to cope with complex relationships between image intensity values. Currently, the most popular image similarity measures are based on information theory because of their property to find predictable relationship between image intensity values. In this paper, we present a novel image similarity measure and compare it to others such as mean square difference, correlation, correlation coefficient, joint entropy, mutual information, and normalized mutual information. The experiments have shown that the proposed similarity measure is capable of describing complex relationship between image intensity values while offering a favorable speed-performance trade-off as compared to other known similarity measures.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Zagrebu