Accurate shape modeling with front propagation using adaptive level sets

Authors:
Subhash Kulkarni;B. N. Chatterji
Affiliations:
Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721 302, West Bengal, India;Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721 302, West Bengal, India
Venue:
Pattern Recognition Letters
Year:
2002

Citing 3
Cited 1

Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

Journal of Computational Physics
Shape Modeling with Front Propagation: A Level Set Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
Active contours without edges

IEEE Transactions on Image Processing

Facial boundary detection with an active contour model

Pattern Recognition Letters

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Abstract

A new constraint on geometric active contour has been proposed, that is capable of propagating adaptively (bi-directional) and extracting the shape of the object more accurately. The constraint used is an image based steering function derived from histogram features in a non-overlapped distribution function, as against the conventional method that uses gradient-based edge stopping function.