Volume 7 Issue 2
Mar.  2014
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ZHANG Yan-chao, ZHAO Jian, HAN Xi-zhen, LIU Bo-chao. Application of SUSAN definition evaluation function in auto-focusing[J]. Chinese Optics, 2014, 7(2): 240-244. doi: 10.3788/CO.20140702.0240
Citation: ZHANG Yan-chao, ZHAO Jian, HAN Xi-zhen, LIU Bo-chao. Application of SUSAN definition evaluation function in auto-focusing[J]. Chinese Optics, 2014, 7(2): 240-244. doi: 10.3788/CO.20140702.0240

Application of SUSAN definition evaluation function in auto-focusing

doi: 10.3788/CO.20140702.0240
  • Received Date: 10 Nov 2013
  • Rev Recd Date: 08 Feb 2014
  • Publish Date: 25 Mar 2014
  • In order to meet the real-time and anti-noise requirements of auto-focusing system, a definition evaluation function based on SUSAN is proposed. This function is derived from the SUSAN edge detection algorithm, which makes the sum of squared edge point's USAN values as the definition evaluation value, and applies to the auto-focusing system, making use of the high accuracy and strong anti-noise characteristics of SUSAN algorithm. The definition evaluation function performance is compared between SUSAN function and the other classical functions. Experiment results show that the SUSAN definition evaluation function has the characteristics of clear single apex, good unbiased, high sensitivity for the image sequences before and after the introduction of noise. In addition, the running time of the function on the TMS320C6416 hardware platform is 15 ms. It can satisfy the definition evaluation function requirements of single apex, unbiased and sensitivity characteristics, as well as strong real time and anti-noise abilities.

     

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