NDLI: Edge detection using sequential methods for change in level--Part I: A sequential edge detection algorithm

Content Provider	IEEE Xplore Digital Library
Author	Basseville, M. Espiau, B. Gasnier, J.
Copyright Year	1974
Abstract	A sequential algorithm for edge detection using a line-byline detector of edge elements connected to a recursive edge-following scheme is presented. On each line, edge elements are detected by means of a filtering operation in order to follow the slow variations of the gray level and some sequential and recursive estimators for locating jumps in this level. The edge-following problem is solved by a Kalman filter, the state model corresponding to a noisy straight line. In this first part, the complete edge detection algorithm is presented after a brief survey of edge detection methods available in the literature. Two main examples of applications are given: detection of white and black targets in the landscape in order to perform automatic driving of vehicles and detection of blood vessels in stereographic images of the brain. In the second part, a detailed study of the sequential estimators for change in mean, which are used in the line-by-line detection, will be found.
Starting Page	24
Ending Page	31
Page Count	8
File Size	1412366
File Format	PDF
ISSN	00963518
Volume Number	29
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1981-02-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Change detection algorithms Detectors Vehicle detection Statistics Iterative algorithms Recursive estimation Kalman filters Vehicle driving Blood vessels
Content Type	Text
Resource Type	Article
Subject	Signal Processing

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