• Title, Summary, Keyword: Histogram (R, G, B Channel)

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Quantitative Analysis of Modified Fermi-Direc Filter applied to Clinical MR Image (임상 MR영상에 적용된 변형 Fermi-Direc필터의 정량적 평가)

  • Kim, Ki-Hong;Kim, Dong-Hyun
    • 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.

A Study of Color Collection with Fog Removal Algorithm (안개 제거 알고리즘의 색상보정을 위한 연구)

  • Kim, Jong-Hyun;Han, Eui-Hwan;Seo, Bo-Kug;Cha, Hyung-Tai
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • pp.20-23
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    • 2013
  • This paper purpose to correct color with histogram equalization, and improve image quality. Fog image is not clear enough to color information. So We need to correct each channel of fog image with histogram equalization. The algorithm offered in this paper is extracting R, G, and B channel, making histogram equalization, and adding or subtraction to brightness of each channel.

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e-Catalogue Image Retrieval Using Vectorial Combination of Color Edge (컬러에지의 벡터적 결합을 이용한 e-카탈로그 영상 검색)

  • Hwang, Yei-Seon;Park, Sang-Gun;Chun, Jun-Chul
    • 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.

The Reduction Method of Facial Blemishes using Morphological Operation (모폴로지 연산을 이용한 얼굴 잡티 제거 기법)

  • Goo, Eun-jin;Heo, Woo-hyung;Kim, Mi-kyung;Cha, Eui-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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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.

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