DocumentCode
152740
Title
2-Dimensional auto-regressive process applied to edge detection
Author
Catak, M. ; Duran, N.
Author_Institution
Elektron. ve Haberlecme Muhendisligi Bolumu, Izmir Univ., Izmir, Turkey
fYear
2014
fDate
23-25 April 2014
Firstpage
1442
Lastpage
1445
Abstract
Edge detection has important applications in image processing area. In addition to well-known deterministic approaches, stochastic models have been developed and validated on edge detection. In this study, a stochastic auto-regressive process method has been presented and this method applied to gray scale and color scale images. Results have been compared to other well-recognized edge detectors, then applicability of the developed method is pointed out.
Keywords
edge detection; image colour analysis; stochastic processes; autoregressive process; color scale images; edge detection; edge detectors; gray scale images; image processing; stochastic autoregressive process method; stochastic models; Art; Conferences; Feature extraction; Image edge detection; MATLAB; Signal processing; Stochastic processes; auto-regressive process; color image processing; edge detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830511
Filename
6830511
Link To Document