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Pregled bibliografske jedinice broj: 57533

Edge Detection by Using Focus of Attention Area


Ribarić, Slobodan; Perković, Željka; Pavešić, Nikola
Edge Detection by Using Focus of Attention Area // Conference Proceeding of the 5th SCI'99 and ISAS'99 ; Volume 6 : Image, Acustic, Speech and Signal Processing / Torres, Michel ; Sanchez, Belkis ; D. G. Lainitis (ur.).
Orlando, Florida, SAD: International Institute of Informatics and Systemics, USA, 1999. str. 163-169 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 57533 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Edge Detection by Using Focus of Attention Area

Autori
Ribarić, Slobodan ; Perković, Željka ; Pavešić, Nikola

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

Izvornik
Conference Proceeding of the 5th SCI'99 and ISAS'99 ; Volume 6 : Image, Acustic, Speech and Signal Processing / Torres, Michel ; Sanchez, Belkis ; D. G. Lainitis - : International Institute of Informatics and Systemics, USA, 1999, 163-169

ISBN
980-07-5919-0

Skup
International Conference on Information Systems Analysis and Synthesis

Mjesto i datum
Orlando, Florida, SAD, 31.07-4.08.1999

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image segmentation; edge detection; Split-and-merge; Canny edge operator; Focus of attention area

Sažetak
A method of image segmentation based on the composition of the Split-and- Merge method and the Canny edge operator is proposed in the paper. In order to speed-up the computationally intensive Canny operator, the proposed method applies preliminary region segmentation using the Split-and-Merge method for detecting uniform regions and bounderies among them. Based on the assumption that there is high probability of the existence of edges in areas thet are close to the bounderies of the regions, the strips around these bounderies are formed. These strips determine a (sub)field of the image called the focus of attention area. The Canny operator is only applied to the focus of attention area in the image. By navigating the Canny operator to the focus of attention area, the reduction of operations required for the edge detection is achieved.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
036022
036023

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Slobodan Ribarić (autor)

Avatar Url Željka Perković (autor)

Citiraj ovu publikaciju

Ribarić, Slobodan; Perković, Željka; Pavešić, Nikola
Edge Detection by Using Focus of Attention Area // Conference Proceeding of the 5th SCI'99 and ISAS'99 ; Volume 6 : Image, Acustic, Speech and Signal Processing / Torres, Michel ; Sanchez, Belkis ; D. G. Lainitis (ur.).
Orlando, Florida, SAD: International Institute of Informatics and Systemics, USA, 1999. str. 163-169 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ribarić, S., Perković, Ž. & Pavešić, N. (1999) Edge Detection by Using Focus of Attention Area. U: Torres, M., Sanchez, B. & D. G. Lainitis (ur.)Conference Proceeding of the 5th SCI'99 and ISAS'99 ; Volume 6 : Image, Acustic, Speech and Signal Processing.
@article{article, year = {1999}, pages = {163-169}, keywords = {image segmentation, edge detection, Split-and-merge, Canny edge operator, Focus of attention area}, isbn = {980-07-5919-0}, title = {Edge Detection by Using Focus of Attention Area}, keyword = {image segmentation, edge detection, Split-and-merge, Canny edge operator, Focus of attention area}, publisher = {International Institute of Informatics and Systemics, USA}, publisherplace = {Orlando, Florida, SAD} }
@article{article, year = {1999}, pages = {163-169}, keywords = {image segmentation, edge detection, Split-and-merge, Canny edge operator, Focus of attention area}, isbn = {980-07-5919-0}, title = {Edge Detection by Using Focus of Attention Area}, keyword = {image segmentation, edge detection, Split-and-merge, Canny edge operator, Focus of attention area}, publisher = {International Institute of Informatics and Systemics, USA}, publisherplace = {Orlando, Florida, SAD} }




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