中文

Journal of Applied Sciences ›› 2004, Vol. 22 ›› Issue (4): 483-486.

• Articles • Previous Articles     Next Articles

The Selection of Morphological Structural Elements for Removing Noise in Infrared Images

YOU An-qing1, CHENG Yi-min1, ZHAO Ping2, GUO Cong-liang1   

  1. 1. Department of EST, University of Science and Technology of China, Hefei 230026, China;
    2. Institute of AE, China Academy of Engineering Physics, Mianyang 621900, China
  • Received:2003-07-01 Revised:2003-09-12 Online:2004-12-31 Published:2004-12-31

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Abstract: Noises in infrared images can be removed by using a filter operator of morphology. Scales of different signals are obtained by means of the constitute quad tree. The scale histogram is established and the best scale of structural elements in filter operation determined. An objective method is thus developed for selecting structural element in infrared image processing based on morphology.

Key words: infrared image, morphology, structural element, scale histogram

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