Recognition of low-contrast FLIR tank object based on multiscale fractal character vector

Donghui Xue; Yaoting Zhu; Guang-Xi Zhu; Yan Xiong

doi:10.1117/12.241155

24 May 1996 Recognition of low-contrast FLIR tank object based on multiscale fractal character vector

Donghui Xue, Yaoting Zhu, Guang-Xi Zhu, Yan Xiong

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241155
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Donghui Xue, Yaoting Zhu, Guang-Xi Zhu, and 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); https://doi.org/10.1117/12.241155

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