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author:

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

Indexed by:

Scopus PKU CSCD

Abstract:

Auto-focusing is one of the key issues in the non-mydriatic fundus camera, a fine and rough combined auto-focusing method is presented after analyzing imaging principle of the fundus camera and the retinal image characteristics. Inscribed square fixed focusing window selection method combined with characteristics of fundus image field is presented, and Robert gradient function is used to realize the rough focusing. The focusing window for fine focusing is selected through auto-focusing window selection algorithm based on local entropy, and image sharpness evaluation function based on Zernike orthogonal moment with 9 pixel×9 pixel mask is presented to realize the fine focusing. The experimental results show that the focusing window method based on inscribed square is more stable, and proposed image sharpness evaluation function for fine focusing has better sensitiveness and realtime performance. ©, 2014, Chinese Optical Society. All right reserved.

Keyword:

Auto-focusing; Focusing window; Image processing; Inscribed square; Zernike orthogonal moments

Community:

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

Reprint 's Address:

  • [Chen, J.]Research Academy of Digital Media, Fuzhou UniversityChina

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Source :

Acta Optica Sinica

ISSN: 0253-2239

Year: 2014

Issue: 11

Volume: 34

1 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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