• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.225-230
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• 2009

Filtering has been used to improve the image quality not only in MRI but in most image processing fields. In this paper, modified Fermi-Direc filter was transformed in various shapes, and then the optimum shape was designed. In addition, Newly made filter was applied in real clinic, which showed the obvious improvement in image quality. In conclusion, filtered image was superior to original image in contrast and sharpness. Then, this was proved by the histogram of R, G, B channel used for the quantitative analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.97-100
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• 2013

In this paper, we propose a detection method of the character rather than cursive, containing many components of the vertical and horizontal direction in complex background image. The characters have many dense corners but the background has few sparse corners. So we use harris corner detector and cluster the corners by using the position of the detected corners for detecting character regions. To merge or filter character regions, we analysis a histogram of gray image of character regions. In each improved region, we compare histograms of R, G, B channels to detect characters.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.579-586
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• 2002

The edge descriptor proposed by MPEG-7 standard is a representative approach for the contents-based image retrieval using the edge information. In the edge descriptor, the edge information is the edge histogram derived from a gray-level value image. This paper proposes a new method which extracts color edge information from color images and a new approach for the contents-based image retrieval based on the color edge histogram. The poposed method and technique are applied to image retrieval of the e-catalogue. For the evaluation, the results of image retrieval using the proposed approach are compared with those of image retrieval using the edge descriptor by MPEG-7 and the statistics shows the efficiency of the proposed method. The proposed color edge model is made by combining the R,G,B channel components vectorially and by characterizing the vector norm of the edge map. The color edge histogram using the direction of the color edge model is subsequently used for the contents-based image retrieval.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.71-72
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• 2014

최근 들어 드라마나 영화 속 인물 들의 얼굴을 다른 얼굴로 교체하고자 하는 시도들이 주목을 받고 있고, 사용자들의 관심 또한 증가하고 있다. 이러한 연구는 오래 전부터 많이 연구되어 왔으나, 조명 변화에 강인한 피부 톤 변환 문제는 여전히 주요 이슈로 자리하고 있다. 본 논문에서는 히스토그램 명세화 기법을 응용하여 피부 톤을 자연스럽게 변환 시켜줄 수 있는 기법을 제안한다. 두 얼굴 영상의 R, G, B 채널에 대한 히스토그램을 각각 생성하고 이들을 누적분포함수로 각각 변환한다. 변환된 누적분포함수들을 이용하여 두 얼굴 영상의 히스토그램을 근사 시킬 수 있는 변환 표를 생성하고 이를 이용하여 얼굴 영상의 피부 톤을 변환시킨다. 조명 변화로 인해 발생하는 전반사 영역은 선형 보간 법을 사용하여 제거한다. 실험 결과, 제안하는 방법이 조명 변화에 적응적으로 대처하면서 자연스럽게 피부 톤을 변환 시켜줄 수 있음을 확인하였다.

• Proceedings of the Korean Statistical Society Conference
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• 2003.10a
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• pp.143-148
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• 2003

본 논문에서는 통계적 방법에 기초한 사과 선별시스템을 이용하여 사과의 색깔을 식별하고자 한다. 이를 위해 T-검정을 이용하여 에지를 검출하였고 검출된 에지로부터 체인코드를 이용하여 사과 영상의 경계선과 환상대 영역을 구하였다. 우리는 주어진 사과영상의 환상대 영역으로부터 R, G, B 채널상에서 히스토그램과 평균 명암값을 구하여 색깔 판정용 표준사과로부터 얻은 기준값들과 비교함으로서 사과의 색깔을 식별하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.364-367
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• 2013

In this paper, we propose a method about reducing facial blemishes using Morphological Operation. First, we detect skin region using pixel data of RGB's each channel image. we create histogram of skin region R, G, B channel and save 3 pixel values that are high frequency pixel value in each channel. After than, we find facial blemishes using Black-hat operation. The pixel value of facial blemishes changes average of its pixel value, 8-neighborhood pixel value and high frequency pixel values. And the facial blemishes pixel is blurred with median filter. The result of this test with facial pictures that have facial blemishes, we prove that this system that correct the face skin using reduction facial Blemishes is more efficient method than correct the face skin just using lighting up.