Multi-scale NWTH Filter for Small Target Detection in Infrared images

نویسندگان

  • Tae-Wuk Bae
  • Won-Hyung Choi
  • Byoung-Ik Kim
  • Young-Choon Kim
  • Sang-Ho Ahn
چکیده

In this paper, we propose a recursive multiscale new white top-hat (NWTH) filter for small target detection in the infrared (IR) images. At first, NWTH filter based on white top-hat (WTH) transformation is performed for three scales (structure elements) with wide scale interval. For the discrimination of candidate target and background region, Threshold is calculated by using maximum value of the summation image by NWTH filter. By using this threshold, a structure element is selected by candidate target clutter ratio (CTCR), modification of signal to clutter ratio gain (SCRG). Based on the selected structure element, the other two structure elements are updated with middle scale interval. Through recursive process of procedure mentioned above, optimum three structure elements are obtained. The experimental results show that the proposed method is robust and effective than existing morphological methods for the small target detection.

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تاریخ انتشار 2011