Optimal detection of blurred edges

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

I develop a variational model for the detection of blurred edges. Though yielding a complicated general solution, the model gives insight into edge detection models previously proposed for step edges. In particular it shows that a previous Ill? solution for step edges is correct even in the FIR case, and suggests why operators approximating the first derivative of a gaussian are successful, despite their suboptimality for step edge detection.

Original languageEnglish
Title of host publication16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL III, PROCEEDINGS
EditorsR Kasturi, D Laurendeau, C Suen
Place of PublicationLOS ALAMITOS
PublisherIEEE Computer Society
Pages831-834
Number of pages4
ISBN (Print)0-7695-1695-X
Publication statusPublished - 2002
Event16th International Conference on Pattern Recognition (ICPR) - QUEBEC CITY
Duration: 11 Aug 200215 Aug 2002

Conference

Conference16th International Conference on Pattern Recognition (ICPR)
CityQUEBEC CITY
Period11/08/0215/08/02

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