NDLI: 3D edge detection by separable recursive filtering and edge closing

Content Provider	IEEE Xplore Digital Library
Author	Monga, O. Deriche, R. Malandain, G. Cocquerez, J.P.
Copyright Year	1990
Description	Author affiliation: INRIA-Domaine de Voluceau, Le Chesney, France (Monga, O.)
Abstract	Edge detection in 3D images such as scanner, magnetic resonance, or spatiotemporal data is considered. A two-stage scheme based on separable recursive filtering and edge tracking/closing is proposed. The key point of the filtering stage is to use optimal recursive and separable filters to approximate gradient or Laplacian methods. The recursive nature of the operators enables one to implement infinite 3D impulse response with a computing time roughly similar to a 333 convolution mask. The principle of the edge tracking/closing is to select from the previous stage only the more reliable edge points and then to apply an edge closing method derived from the idea developed by R. Deriche and J.P. Cocquerez (1988). This makes it possible to substantially improve the results provided by the filtering stage.
Starting Page	652
Ending Page	654
File Size	282319
Page Count	3
File Format	PDF
ISBN	0818620625
DOI	10.1109/ICPR.1990.118182
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-06-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Filtering Laplace equations IIR filters Detectors Convolution Computational efficiency Magnetic resonance Nuclear magnetic resonance Magnetic separation
Content Type	Text
Resource Type	Article

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