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Image-fusion-based active contour model

[+] Author Affiliations
Peng Zhao

Shanghai Jiao Tong University, Institute of Aerospace Information and Control, Shanghai 200030, China and Northeast Forestry University, Information and Computer Engineering College, Harbin 150040, China

Zhongliang Jing

Shanghai Jiao Tong University, Institute of Aerospace Information and Control, Shanghai 200030, China

Shiqiang Hu

Shanghai Jiao Tong University, Institute of Aerospace Information and Control, Shanghai 200030, China

J. Electron. Imaging. 17(1), 013015 (March 24, 2008). doi:10.1117/1.2898535
History: Received March 17, 2007; Revised September 15, 2007; Accepted September 20, 2007; Published March 24, 2008
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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.

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© 2008 SPIE and IS&T

Topics

Image fusion

Citation

Peng Zhao ; Zhongliang Jing and Shiqiang Hu
"Image-fusion-based active contour model", J. Electron. Imaging. 17(1), 013015 (March 24, 2008). ; http://dx.doi.org/10.1117/1.2898535


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