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author:

Chen, J. (Chen, J..) [1] | Zheng, S.-H. (Zheng, S.-H..) [2] | Pan, L. (Pan, L..) [3] | Yu, L. (Yu, L..) [4]

Indexed by:

Scopus PKU CSCD

Abstract:

An auto focusing method based on auto focusing window selection was presented according to the imaging principle and characteristics of fundus images. The preliminary focusing window is extracted through the focusing window selection algorithm based on local entropy with improved threshold. The final window is located through multi-directional stepping algorithm. The image sharpness evaluation function combined with the characteristics of local contrast sharpness evaluation function and gradient vector square function was presented according to low contrast fundus images. Experimental results show that the presented auto focusing window selection algorithm ensure the stability and accuracy for the focusing window, and the image sharpness evaluation function has better sensitiveness for low contrast fundus images. ©, 2014, Chinese Optical Society. All right reserved.

Keyword:

Auto focus; Contrast; Entropy; Evaluation function

Community:

  • [ 1 ] [Chen, J.]Research Academy of Digital Media, Fuzhou University, Fuzhou, 350002, China
  • [ 2 ] [Chen, J.]School of Information Science and Engineering, Fujian University of Technology, Fuzhou, 350108, China
  • [ 3 ] [Zheng, S.-H.]Research Academy of Digital Media, Fuzhou University, Fuzhou, 350002, China
  • [ 4 ] [Pan, L.]Research Academy of Digital Media, Fuzhou University, Fuzhou, 350002, China
  • [ 5 ] [Yu, L.]Research Academy of Digital Media, Fuzhou University, Fuzhou, 350002, China

Reprint 's Address:

  • [Yu, L.]Research Academy of Digital Media, Fuzhou UniversityChina

Email:

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Source :

Acta Photonica Sinica

ISSN: 1004-4213

Year: 2014

Issue: 11

Volume: 43

0 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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