Fractal-based image target detection

Huayan Sun; Xiaozhong Chen

doi:10.1117/12.441662

24 September 2001 Fractal-based image target detection

Huayan Sun, Xiaozhong Chen

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441662
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Generally, our detection technique detects man-made targets of interest when those targets are a small percentage of a nature background. If we use one threshold for the integral field, some nature background would be divided to wrong kind of areas. In this paper, the intrinsic difference in fractal features between natural background and man-made objects is presented. By the discussion of its characteristic using wavelet composition, the fractal dimension and the error of fractal feature after multiscale decomposing is used to detect man-made targets in natural background. Our experimental results for real images show that the procedure in this paper is applicable.

Citation Download Citation

Huayan Sun and Xiaozhong Chen "Fractal-based image target detection", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441662

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