한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제24권1호
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  • Pages.91-99
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  • 2020
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  • 2234-4772(pISSN)
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  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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수직 히스토그램 기반 그림자 제거 알고리즘을 이용한 영상 감지 시스템 설계 및 구현

Design and Implementation of Image Detection System Using Vertical Histogram-Based Shadow Removal Algorithm

  • 투고 : 2019.08.14
  • 심사 : 2019.10.17
  • 발행 : 2020.01.31
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초록

영상 감지 시스템의 기반 기술인 그림자 제거기술의 경우 실시간 영상처리는 계산의 복잡도가 높아 처리속도가 저하되고, 명도 차이만으로 그림자를 제거하기 때문에 조명이나 빛에 민감하다는 문제점이 있다. 따라서 본 논문에서는 기존 시스템의 문제점을 해결하기 위해 가중치 적용 부분을 제거하여 계산의 복잡도를 낮추어 실시간성을 향상시켰다. 또한 수직 히스토그램을 이용해 그림자 인식률을 향상시킬 수 있는 그림자 제거 알고리즘 기반의 영상 감지 시스템을 설계 및 평가하였다. 평가 결과 기존 영상 감지 시스템에 비해 평균 속도가 약 5.6ms, 검출률이 약 5.5%p 향상된 것을 확인하였다.

For the shadow removal technology that is the base technology of the image detection system, real-time image processing has a problem that the processing speed is reduced due to the calculation complexity and it is also sensitive to illumination or light because shadows are removed only by the difference in brightness. Therefore, in this paper, we improved real-time performance by reducing the calculation complexity through the removal of the weighting part in order to solve the problem of the conventional system. In addition, we designed and evaluated an image detection system based on a shadow removal algorithm that could improve the shadow recognition rate using a vertical histogram. The evaluation results confirmed that the average speed increased by approximately 5.6ms and the detection rate improved by approximately 5.5%p compared to the conventional image detection system.

키워드

참고문헌

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