Optimal trade-off filters for Noise Robustness, Peak Sharpness and Light Efficiency in the Nonoverlapping Background Noise

배경이 물체에 겹치지 않는 영상에서 잡음에 대한 안정성, 출력의 최대값 크기, 광효율을 고려한 최적 Trade-off 필터

  • Seong, Yeong-Kyeong (Dept of Mechatronics, Kwangju Institute of Science and Technology) ;
  • Choi, Tae-Sun (Dept of Mechatronics, Kwangju Institute of Science and Technology)
  • 성영경 (광주과학기술원 기전공학과) ;
  • 최태선 (광주과학기술원 기전공학과)
  • Published : 2000.07.25

Abstract

The design of filters for pattern recognition that have optimal trade-off for the criteria of noise robustness, peak sharpness and Homer efficiency, when input scene noise is spatially disjoint (nonoverlapping) with the target, are presented Three different criteria, ie, signal-to-noise ratio, peak-to-output energy ratio and light efficiency are used to design the filter. Computer simulation is made for the various types of noise and parameters to illustrate filter performance for optical pattern recognition. When we compare the new trade-off filter with the original optimal trade-off filter, the performance of trade-off filter for nonoverlapping background is better than that of trade-off filter for overlapping background.

본 논문에서는 패턴인식의 문제에서 배경이 물체에 겹치지 않는 영상일 때 잡음에 대한 안정성, 피크의 크기와 광효율의 조건에 대한 trade-off를 통해 필터를 설계하는 방법에 대해 언급한다. 필터를 설계하기위해 신호대 잡음비, 출력의 최대값대 출력에너지비, 광효율의 세가지 다른 조건을 사용한다. 필터의 성능을 시험하기 위해 여러 형태의 잡음과 필터 계수에 대해 컴퓨터 모의실험을 실시한다. 배경이 물체에 겹치지 않는 영상에 대해 기존의 필터보다 우수한 성능을 얻을 수 있다.

Keywords

References

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