Paper
30 September 1996 Shape-based active contour model
Vanee Vuwong, Hairong Yu
Author Affiliations +
Abstract
An active contour model has been widely applied to image segmentation and analysis. A contour model is able to be deformed to fit an expected object based on energy minimization. However, the conditions of initializing a contour model and defining internal energy parameters are important factors to the desired deformation process. We propose a new method to lessen these conditions so that the contour can be attracted correctly to the boundary of an object. With the dynamic programming approach, the contour model resolves energy ambiguity occurring in the image input. Then, the deformation process focusses on energy optimization that allows the model to maintain a desirable shape of an expected object. Fuzzy logic is applied to measure energy ambiguity and to form explicit shape knowledge that will guide the contour formation. The experimental results show that the contour model is able to make better decision in deforming itself in spite of an improper contour initialization and parameter definitions.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vanee Vuwong and Hairong Yu "Shape-based active contour model", Proc. SPIE 2898, Electronic Imaging and Multimedia Systems, (30 September 1996); https://doi.org/10.1117/12.253383
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Cited by 1 scholarly publication.
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KEYWORDS
Fuzzy logic

Image segmentation

Computer programming

3D modeling

Motion models

Visual process modeling

Image analysis

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