• Acta Photonica Sinica
  • Vol. 50, Issue 12, 1210001 (2021)
Yifan HAO1、2、3 and Yi JIAN1、2、*
Author Affiliations
  • 1Key Laboratory of Infrared Detection and Imaging Technology, Chinese Academy of; Sciences, Shanghai 200083, China
  • 2Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/gzxb20215012.1210001 Cite this Article
    Yifan HAO, Yi JIAN. Multi-focus Fusion Method Based on Multi-Scale Local Weighted Variance[J]. Acta Photonica Sinica, 2021, 50(12): 1210001 Copy Citation Text show less

    Abstract

    When observing a target with a short-wave infrared microscope, the vertical size of the target is often limited by the depth of field of the lens. Aim at this problem, a multi-focus fusion method that can effectively expand the depth of field of microscope images is proposed. A large number of images with different focal planes is obtained by changing the object distance. Multiscale and local weighted variance is used to quantify the area definition. Then the focal plane mask is obtained. The morphological methods is used to optimize the mask boundary. Finally, focal plane regions are used to obtain the fusion image with complete details by weighted fusion. In the experiment, a microscope lens with a depth of field of about ten microns is used to obtain a high-quality image of a target with a vertical size of several hundred microns. The experimental results show that compared with other methods, the proposed method has certain advantages in terms of keeping the boundary of the focus plane and the details.
    Yifan HAO, Yi JIAN. Multi-focus Fusion Method Based on Multi-Scale Local Weighted Variance[J]. Acta Photonica Sinica, 2021, 50(12): 1210001
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