• Opto-Electronic Engineering
  • Vol. 36, Issue 12, 11 (2009)
TAO Bing-jie1、* and WEI Yu-xing2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2009.12.003 Cite this Article
    TAO Bing-jie, WEI Yu-xing. Multi-target Detection Using Fractal Feature Fusion of Different Source Image[J]. Opto-Electronic Engineering, 2009, 36(12): 11 Copy Citation Text show less

    Abstract

    As to the detection of multi-target,a feature-level fusion detection scheme which uses fractal feature of multi-source images is proposed. Firstly,the character of multi-target detection is analyzed,the fractal theory is introduced,and then the theory of fusion detection scheme is introduced in detail. Some targets are segmented in infrared image. Afterwards,using the statistic character can build up irregularity of fractal dimension,and areas are searched and signed in the visible light fractal dimension image,which has close fractal statistic feature to the target area detected. At last,the whole targets are successfully detected after clustering and recognition based on the rule of distance similarity degree. The experimental results show that the fusion detection scheme can detect and recognize target effectively.
    TAO Bing-jie, WEI Yu-xing. Multi-target Detection Using Fractal Feature Fusion of Different Source Image[J]. Opto-Electronic Engineering, 2009, 36(12): 11
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