• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.1718-1721
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• 1997

An image processing algorithm is developed in order to recognize the type of cars, the position of a number plate and the characters on the plate. to recognize the type of cars, comparison of two images is used. One has a car image, the other is just a background image without car. After that recognition, a vertical line filter is used to find the location of the plate. Finally the simularity mehod is used to recognize the numbers on plates.

• Journal of the Optical Society of Korea
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• 제14권4호
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• pp.388-394
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• 2010

In this paper the object recognition performance of a photon counting integral imaging system is quantitatively compared with that of a conventional gray scale imaging system. For 3D imaging of objects with a small number of photons, the elemental image set of a 3D scene is obtained using the integral imaging set up. We assume that the elemental image detection follows a Poisson distribution. Computational geometrical ray back propagation algorithm and parametric maximum likelihood estimator are applied to the photon counting elemental image set in order to reconstruct the original 3D scene. To evaluate the photon counting object recognition performance, the normalized correlation peaks between the reconstructed 3D scenes are calculated for the varied and fixed total number of photons in the reconstructed sectional image changing the total number of image channels in the integral imaging system. It is quantitatively illustrated that the recognition performance of the photon counting integral imaging system can be similar to that of a conventional gray scale imaging system as the number of image viewing channels in the photon counting integral imaging (PCII) system is increased up to the threshold point. Also, we present experiments to find the threshold point on the total number of image channels in the PCII system which can guarantee a comparable recognition performance with a gray scale imaging system. To the best of our knowledge, this is the first report on comparisons of object recognition performance with 3D photon counting & gray scale images.

• 한국산업정보학회논문지
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• 제20권5호
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• pp.53-60
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• 2015

본 논문에서는 DCT 상수를 선택적으로 사용하는 무손실 이미지 압축시스템을 Lenna, Cameraman 및 제안하였다. 복원된 영상의 적정한 화질에 필요한 DCT 상수를 구하기 위하여 컴퓨터 시뮬레이션을 실시하였다. 실험에 사용된 영상의 크기는 $256{\times}256$ 이다. 제한적으로 선택된 DCT 상수를 사용하여 복원된 영상의 PSNR값을 도출하였다. 복원된 Lenna, Cameraman 및 Baboon 영상의 PSNR값이 최소 30이 되기 위한 상수의 개수는 각 각 N=16, 32, 37, 55로 주어졌다. 본 논문에서 구해진 결과는 Lenna, Cameraman, Baboon 영상 복원영상과 선택적 DCT 상수의 중요도를 결정하는 기준을 제공한다.

• 한국위성정보통신학회논문지
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• 제11권2호
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• pp.14-17
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• 2016

본 논문은 시각 장애인들을 위해 영상처리 기반의 숫자-자동 점자 변환기의 설계 및 구현에 관한 내용을 기술한다. 영상처리 기반의 숫자-점자 변환 알고리즘은 카메라로 획득한 입력 영상을 이진 영상화 한 다음, 문자 영역을 팽창과 라벨링 연산을 수행하고 저장되어 있는 문자 패턴 영상과 상호 상관도를 계산하여 해당되는 점자로 변환한다. 컴퓨터 시뮬레이션을 통하여 제안한 알고리즘을 모의실험한 결과, A4 용지에 인쇄된 숫자(0-9)에 대하여 91.8% 변환 성공률을 보여 주었고, DSP 영상처리 보드에 구현한 시제품 시험을 통하여 90% 변환 성능을 확인함으로서 구현된 숫자-자동 점자 변환기의 실용화 가능성을 확인하였다.

• 한국전자통신학회논문지
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• 제10권1호
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• pp.139-148
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• 2015

본 논문에서는 여러 장의 후판이 포함된 영상에서 제품번호 문자열을 추출하고 문자를 분리하는 알고리즘을 제안한다. 일반적으로 후판 영상은 여러 개의 후판을 포함하고 있다. 후판의 제품번호를 추출하기 위해서는 먼저 개별 후판을 분리하여야 하며, 이를 위해 후판의 직선 에지를 검출하고 군집화를 수행한다. 다음으로 분리된 개별 후판을 대상으로 배경 정보를 제거하여 후판의 제품번호 문자열을 검출한다. 후판의 배경은 철판의 어두운 부분과 제품번호를 출력하기 위한 흰색 페인트 부분으로 구성되며, 제안하는 방법에서는 두 부분을 구분하여 두 단계로 배경을 제거한다. 배경을 제거한 영상에 대해서 후판의 제품번호 문자열의 특성을 고려하여 개별 문자열을 추출한다. 다양한 후판 영상에 대해서 실험을 수행한 결과는 제안하는 알고리즘이 전체 영상에서 각각의 후판을 효과적으로 검출하고 개별 후판 영상에서 제품번호를 정확하게 추출함을 보여준다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제14권1호
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• pp.57-66
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• 2010

In this paper, we develop the Automatic Number Plate Recognition (ANPR) System. ANPR is generally composed of the following four steps: i) The acquisition of the image; ii) The extraction of the region of the number plate; iii) The partition of the number and iv) The recognition. The second and third steps incorporate image processing technique. We propose to resolve this by using Partial Differential Equation(PDE) based segmentation method. This method is computationally efficient and robust. Results indicate that our methods are capable to recognize the plate number on difficult situations.

• 한국정보전자통신기술학회논문지
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• 제6권4호
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• pp.232-237
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• 2013

This paper presents image database retrieval based on maximum color occurrenceusing Hue, Saturation and Value (HSV) color space. Our system is based on color segmentation. We dividedthe image into n number of areas based on different selected ranges of hue and value, then each area is partitioned into m number of segments based on the number of pixels it contains, after this we calculated the maximumcolor occurrence in each segment and used its HSV value. This is used as a feature vector.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제2권3호
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• pp.150-170
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• 2008

In recent years, main focus of research on image retrieval techniques is on content-based image retrieval. Text-based image retrieval schemes, on the other hand, provide semantic support and efficient retrieval of matching images. In this paper, based on Formal Concept Analysis (FCA), we propose a new image indexing and retrieval technique. The proposed scheme uses keywords and textual annotations and provides semantic support with fast retrieval of images. Retrieval efficiency in this scheme is independent of the number of images in the database and depends only on the number of attributes. This scheme provides dynamic support for addition of new images in the database and can be adopted to find images with any number of matching attributes.

• 대한기계학회논문집B
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• 제24권6호
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• pp.760-768
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• 2000

Filter efficiency of electrically charged particle in uncharged fibrous filter was measured. In previous studies, the effect of charged particle on filter efficiency was investigated but there was difficulty in measuring of image effect that is appeared at the charged small particle. We could easily measure the image effect with charging small particles by photoelectric charging. The spark discharge aerosol generator and a differential mobility analyzer (DMA) were used to generate sub-micron monodisperse particles (${\leq}200$ nm). The generated particles were charged in photoelectric charging process using ultraviolet lamp and electric field. The filter efficiency of the charged particles, classified by another DMA, was measured in filter tester using a condensation nucleus counter (CNC) as function of particle diameter, particle charge and airflow velocity. It is shown that the filter efficiency increases with increasing charge number of the particle and is affected by particle size and flow velocity. Single fiber filter efficiency mainly depends on image force parameter and peclet number. The peclet number was not considered at previous other papers. We propose a modi fied experimental correlation as function of image force parameter and peclet number.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2003년도 봄 학술발표대회논문집
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• pp.42-43
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• 2003