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Journal of Electronic Imaging

Image-fusion-based active contour model
Author(s): Peng Zhao; Zhongliang Jing; Shi Qiang Hu
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Paper Abstract

We propose a novel B-spline active contour model based on image fusion. Compared with conventional active contours, this active contour has two advantages. First, it is represented by a cubic B-spline curve, which can adaptively determine the curve parameter’s step length; and it can also effectively detect and express the object contour’s corner points. Second, it is implemented in connection with image fusion. Its external image force is modified as the weighted sum of two modal image forces, with the two weights in terms of a local region’s image entropy or image contrast’s standard deviation. The experiments indicate that this active contour can accurately detect both the object’s contour edge and the corner points. Our experiments also indicate that the active contour’s convergence with a weighted image force by the image contrast’s standard deviation is more accurate than that of image entropy, restraining the influence of the texture or pattern.

Paper Details

Date Published: 1 January 2008
PDF: 8 pages
J. Electron. Imaging. 17(1) 013015 doi: 10.1117/1.2898535
Published in: Journal of Electronic Imaging Volume 17, Issue 1
Show Author Affiliations
Peng Zhao, Northeast Forestry Univ. (China)
Zhongliang Jing, Shanghai Jiao Tong Univ. (China)
Shi Qiang Hu, Shanghai Jiao Tong Univ. (China)

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