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  • 标题:An Auto-Focusing Method for Different Object Distance Situation
  • 本地全文:下载
  • 作者:Quan Feng ; Ke Han ; Xiu-chang Zhu
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2007
  • 卷号:7
  • 期号:6
  • 页码:31-35
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:The auto-focusing system is an important factor to determine the imaging quality of digital camera. Currently, many auto focusing methods have been proposed, most of which are suitable for the long-object-distance situation, but ignore the long-short-object-distance situation. So this paper analyses the imaging relation and the properties of image clarity evaluation function under long-short-object-distance situation, and finds that the curve of the image clarity evaluation function always has multiple peaks, not the single peak. And according to this property, image clarity evaluation function based on Sobel operator is proposed in this paper. Experimental results indicate that the proposed method can effectively focus the images both under the long-short-object-distance situation and under the long-object-distance situation.
  • 关键词:Auto-focusing; Image processing; Evaluation function; Gray gradient
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