1 January 2008 Image-fusion-based active contour model
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J. of Electronic Imaging, 17(1), 013015 (2008). doi:10.1117/1.2898535
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.
Peng Zhao, Zhongliang Jing, Shi Qiang Hu, "Image-fusion-based active contour model," Journal of Electronic Imaging 17(1), 013015 (1 January 2008). http://dx.doi.org/10.1117/1.2898535
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KEYWORDS
Image fusion

Image segmentation

Infrared imaging

Infrared radiation

Visible radiation

Image processing

Corner detection

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