Paper
23 February 2006 Fractal active contour model for segmenting the boundary of man-made target in nature scenes
Min Li, Yandong Tang, Lidi Wang, Zelin Shi
Author Affiliations +
Abstract
In this paper, a novel geometric active contour model based on the fractal dimension feature to extract the boundary of man-made target in nature scenes is presented. In order to suppress the nature clutters, an adaptive weighting function is defined using the fractal dimension feature. Then the weighting function is introduced into the geodesic active contour model to detect the boundary of man-made target. Curve driven by our proposed model can evolve gradually from the initial position to the boundary of man-made target without being disturbed by nature clutters, even if the initial curve is far away from the true boundary. Experimental results validate the effectiveness and feasibility of our model.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Li, Yandong Tang, Lidi Wang, and Zelin Shi "Fractal active contour model for segmenting the boundary of man-made target in nature scenes", Proc. SPIE 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 615053 (23 February 2006); https://doi.org/10.1117/12.676837
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fractal analysis

Image segmentation

Target detection

Infrared imaging

Image analysis

Algorithm development

Image enhancement

Back to Top