24 May 1996 Recognition of low-contrast FLIR tank object based on multiscale fractal character vector
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Abstract
Low-contrast FLIR tank object detection is a difficulty. This paper presents a new method based on fractal geometry and multiscale analysis for the target detection. A new metric called multiscale fractal character vector which can distinguish man-made objects and natural scenes is defined. And then a segmentation algorithm based on this new metric is given. Finally, experimental results have shown our method can give better segmentation results than the usual segmentation method which is based on H parameter of only one scale image.
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Donghui Xue, Donghui Xue, Yaoting Zhu, Yaoting Zhu, Guang-Xi Zhu, Guang-Xi Zhu, Yan Xiong, Yan Xiong, "Recognition of low-contrast FLIR tank object based on multiscale fractal character vector", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241155; https://doi.org/10.1117/12.241155
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