Method and apparatus for segmenting images using constant-time d

Details Method and apparatus for segmenting images using constant-time d Method and apparatus for segmenting images using constant-time d

1998-02-12

2000-02-29

Tran, Phuoc

Image analysis

Image segmentation

170199, 170203, 170286, 170288, G06K 934

Patent

active

060319356

ABSTRACT:
An image segmentation system uses deformable contours to automatically identify the border of a target object in each image of a set of images. The majority of contour deformations, or moves, are performed in O(1) time. Each contour uses both global and local geometric information and pixel intensity information extracted from a training contour, as well as a priori domain knowledge, to find the outline of the target object.

REFERENCES:
patent: 4910786 (1990-03-01), Eichel
patent: 5559901 (1996-09-01), Lobregt
patent: 5768413 (1998-06-01), Levin et al.
patent: 5832116 (1998-11-01), Rezzouk
Staib and Duncan, Boundary Finding with Parametrically Deformable Models, IEEE Transactions of Pattern Analysis and Machine Intelligence, vol. 14, No. 11, Nov. 1992, pp. 1061-1075.
Storvik, A Bayesian Approach to Dynamic Contours through Stochastic Sampling and Stimulated Annealing, IEEE Transactions of Pattern Analysis and Machine Intelligence, vol. 16, No. 10, Oct. 1994, pp. 976-986.
Malladi, Sethian, and Vemuri, Shape Modeling with Front Propagation A Level Set Approach, IEEE Transactions of Pattern Analysis and Machine Intelligence, vol. 17, No. 2, Feb. 1995, pp. 158-175.
Grzeszczuk and Levin, "Brownian Strings": segmenting images with stochastically deformable contours, Department of Radiology, University of Chicago, Chicago, Illinois, vol. 15.6, May 1997, pp. 1-37.

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