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      레이저 파면 획득용 Lenslet Array 점 패턴 검출 알고리즘 = Detection Algorithm of Lenslet Array Spot Pattern for Acquisition of Laser Wavefront

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      https://www.riss.kr/link?id=A101492841

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      다국어 초록 (Multilingual Abstract)

      In this paper, a new detection algorithm was proposed for finding the position of lenslet array spot pattern used to acquire laser wavefront. Based on the analysis of the required signal processing characteristics, we categorized into and designed four main signal processing functions. The proposed was designed in order to have robust feature against a variation of geometrical form of the spot and also implemented to have semi-automatic thresholding capability based on CCD noise analysis. For performance evaluation, we made qualitative and quantitative comparisons with Carvalho's algorithm which has been published in recent. In the given experimental spot images, the proposed could detect the spots which has 1/3 times lower than the least S/N of which Carvalho's can detect and could reach to a detection precision of 0.1 pixel at the S/N. In functional aspect, the proposed could separate all valid spots locally. From these results, the proposed could have a superior precision of location detection of spot pattern in wider S/N range.
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      In this paper, a new detection algorithm was proposed for finding the position of lenslet array spot pattern used to acquire laser wavefront. Based on the analysis of the required signal processing characteristics, we categorized into and designed fou...

      In this paper, a new detection algorithm was proposed for finding the position of lenslet array spot pattern used to acquire laser wavefront. Based on the analysis of the required signal processing characteristics, we categorized into and designed four main signal processing functions. The proposed was designed in order to have robust feature against a variation of geometrical form of the spot and also implemented to have semi-automatic thresholding capability based on CCD noise analysis. For performance evaluation, we made qualitative and quantitative comparisons with Carvalho's algorithm which has been published in recent. In the given experimental spot images, the proposed could detect the spots which has 1/3 times lower than the least S/N of which Carvalho's can detect and could reach to a detection precision of 0.1 pixel at the S/N. In functional aspect, the proposed could separate all valid spots locally. From these results, the proposed could have a superior precision of location detection of spot pattern in wider S/N range.

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      참고문헌 (Reference)

      1 "레이저 파면측정 및 파면재구성 알고리즘연구" 국방과학연구소 2003.

      2 "Principles of Adaptive Optics" Academic Press 1998

      3 "CA-D8 Camera User's Manual" 1998.

      4 "Adaptive Optics and Ground-to-Space Laser Communications" 35 : 3640-3646, 1996.7

      5 "A simple and Effective Algorithm for Detection of Arbitrary Hartmann-Shack Patterns" 37 : 1-9, 2004.2

      1 "레이저 파면측정 및 파면재구성 알고리즘연구" 국방과학연구소 2003.

      2 "Principles of Adaptive Optics" Academic Press 1998

      3 "CA-D8 Camera User's Manual" 1998.

      4 "Adaptive Optics and Ground-to-Space Laser Communications" 35 : 3640-3646, 1996.7

      5 "A simple and Effective Algorithm for Detection of Arbitrary Hartmann-Shack Patterns" 37 : 1-9, 2004.2

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재후보2차) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.13 0.13 0.1
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.09 0.09 0.244 0.04
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