Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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The 3D Depth Extraction Method by Edge Information Analysis in Extended Depth of Focus Algorithm

확장된 피사계 심도 알고리즘에서 엣지 정보 분석에 의한 3차원 깊이 정보 추출 방법

  • Kang, Sunwoo (Dept. of Electronics Engineering, Hoseo University) ;
  • Kim, Joon Seek (Dept. of Electronics Engineering, Hoseo University) ;
  • Joo, Hyonam (Dept. of Digital Display Engineering, Hoseo University)
  • 강선우 (호서대학교 전자공학과) ;
  • 김준식 (호서대학교 전자공학과) ;
  • 주효남 (호서대학교 디지털디스플레이공학과)
  • Received : 2015.04.09
  • Accepted : 2015.12.30
  • Published : 2016.02.01
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Abstract

Recently, popularity of 3D technology has been growing significantly and it has many application parts in the various fields of industry. In order to overcome the limitations of 2D machine vision technologies based on 2D image, we need the 3D measurement technologies. There are many 3D measurement methods as such scanning probe microscope, phase shifting interferometry, confocal scanning microscope, white-light scanning interferometry, and so on. In this paper, we have used the extended depth of focus (EDF) algorithm among 3D measurement methods. The EDF algorithm is the method which extracts the 3D information from 2D images acquired by short range depth camera. In this paper, we propose the EDF algorithm using the edge informations of images and the average values of all pixel on z-axis to improve the performance of conventional method. To verify the performance of the proposed method, we use the various synthetic images made by point spread function(PSF) algorithm. We can correctly make a comparison between the performance of proposed method and conventional one because the depth information of these synthetic images was known. Through the experimental results, the PSNR of the proposed algorithm was improved about 1 ~ 30 dB than conventional method.

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