NDLI: Edge detection in ultrasound imagery using the instantaneous coefficient of variation

Content Provider	IEEE Xplore Digital Library
Author	Yongjian Yu Acton, S.T.
Copyright Year	1992
Abstract	The instantaneous coefficient of variation (ICOV) edge detector, based on normalized gradient and Laplacian operators, has been proposed for edge detection in ultrasound images. In this paper, the edge detection and localization performance of the ICOV-squared (ICOVS) detector are examined. First, a simplified version of the ICOVS detector, the normalized gradient magnitude squared, is scrutinized in order to reveal the statistical performance of edge detection and localization in speckled ultrasound imagery. Both the probability of detection and the probability of false alarm are evaluated for the detector. Edge localization is characterized by the position of the peak and the 3-dB width of the detector response. Then, the speckle-edge response of the ICOVS as applied to a realistic edge model is studied. Through theoretical analysis, we reveal the compensatory effects of the normalized Laplacian operator in the ICOV edge detector for edge-localization error. An ICOV-based edge-detection algorithm is implemented in which the ICOV detector is embedded in a diffusion coefficient in an anisotropic diffusion process. Experiments with real ultrasound images have shown that the proposed algorithm is effective in extracting edges in the presence of speckle. Quantitatively, the ICOVS provides a lower localization error, and qualitatively, a dramatic improvement in edge-detection performance over an existing edge-detection method for speckled imagery.
Sponsorship	IEEE Signal Processing Society
Page Count	16
File Size	1940397
Starting Page	1640
Ending Page	1655
File Format	PDF
ISSN	10577149
Volume Number	13
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Ultrasonic imaging Speckle Laplace equations Probability Humans Filters Gamma ray detection Gamma ray detectors Anisotropic magnetoresistance ultrasonic image Edge detection instantaneous coefficient of variation speckle
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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