Literature DB >> 25607072

Fast and accurate auto-focusing algorithm based on the combination of depth from focus and improved depth from defocus.

Xuedian Zhang, Zhaoqing Liu, Minshan Jiang, Min Chang.   

Abstract

An auto-focus method for digital imaging systems is proposed that combines depth from focus (DFF) and improved depth from defocus (DFD). The traditional DFD method is improved to become more rapid, which achieves a fast initial focus. The defocus distance is first calculated by the improved DFD method. The result is then used as a search step in the searching stage of the DFF method. A dynamic focusing scheme is designed for the control software, which is able to eliminate environmental disturbances and other noises so that a fast and accurate focus can be achieved. An experiment is designed to verify the proposed focusing method and the results show that the method's efficiency is at least 3-5 times higher than that of the traditional DFF method.

Entities:  

Year:  2014        PMID: 25607072     DOI: 10.1364/OE.22.031237

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Development of an Automatic Testing Platform for Aviator's Night Vision Goggle Honeycomb Defect Inspection.

Authors:  Bo-Lin Jian; Chao-Chung Peng
Journal:  Sensors (Basel)       Date:  2017-06-15       Impact factor: 3.576

  1 in total

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