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Practical edge finding with a robust estimator

Content Provider	IEEE Xplore Digital Library
Author	Fleck, M.M.
Copyright Year	1994
Description	Author affiliation: Dept. of Comput. Sci., Iowa Univ., Iowa City, IA, USA (Fleck, M.M.)
Abstract	This paper presents a new algorithm for locating the boundaries of textured regions (both step changes and outliers) using a robust estimator. Previous robust image filters perform poorly on binary images, blur edges, round corners, and run slowly. The author avoids artifacts on binary images by modelling them as continuous and interpolating values. Information is combined directly between non-adjacent locations to prevent blurring. Corners are sharpened by relabelling mis-classified pixels. The algorithm is made as fast as a Marr-Hildreth edge finder by restructuring the estimator as a series of 2D image operations, using new multi-ring order statistic operators, and running most of the estimator on a randomly sampled image.<>
Starting Page	649
Ending Page	653
File Size	486255
Page Count	5
File Format	PDF
ISBN	0818658258
ISSN	10636919
DOI	10.1109/CVPR.1994.323785
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image line-pattern analysis Computational geometry Image texture analysis
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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