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

  • 제21권9호
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  • Pages.1711-1717
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  • 2017
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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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집적 영상에서 빠르고 정확한 렌즈 배열 격자 검출 방법

A fast and accurate method of extracting lens array lattice in integral imaging

  • Jeong, Hyeon-Ah (Department of Media Software, Sangmyung University) ;
  • Yoo, Hoon (Department of Media Software, Sangmyung University)
  • 투고 : 2017.04.06
  • 심사 : 2017.04.14
  • 발행 : 2017.09.30
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초록

본 논문에서는 적절한 패턴의 입력 영상과 고속 중간 값 필터를 이용하여 집적 영상에서 빠르고 정확한 렌즈 배열의 격자 검출 방법을 제안한다. 렌즈 배열의 격자를 검출하기 위해서 수직, 수평 방향의 에지 영상이 필요하다. 이를 위해, 이전의 잘 알려진 격자 검출 방법은 1차원 중간 값 필터를 사용한다. 하지만 이 방법은 속도가 느리고 중간 값 필터 크기를 결정하는데 어려움이 발생한다. 이를 극복하기 위해, 본 논문에서는 binary counting방법으로 중간 값을 구함으로써 속도를 개선하고자 한다. 또, 에지를 잘 검출 할 수 있는 캘리브레이션 패턴 영상을 제안하여 정확도를 향상 시킨다. 실험을 통해 제안하는 방법이 기존의 방법보다 집적 영상에서 렌즈 배열의 격자를 검출할 때 우수하게 적용될 수 있음을 보여주었다.

In this paper, we propose a fast and accurate method of extracting lens array lattice in integral imaging by using an appropriate calibration pattern image and fast median filtering. In order to extract the lattice of a lens array, vertical and horizontal edge images are required. To extract edge images, the well-known previous method used separable median filters. However, this method is slow and difficult to determine the median filter size. In order to overcome this problem, we try to improve speed by calculating median value through binary counting method. In addition, we propose a calibration pattern image that detects edges well and improves the accuracy. Experimental results indicate that the proposed method is superior to the existing method in extracting the lattice of a lens array in integral imaging.

키워드

참고문헌

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