• 제목/요약/키워드: Image Shifted Histogram

검색결과 4건 처리시간 0.018초

영상 검색을 위한 Shifted 히스토그램 정합 알고리즘 (Shifted Histogram Matching Algorithm for Image Retrieval)

  • 유기형;유승선;육상조;박길철
    • 융합보안논문지
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    • 제7권1호
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    • pp.107-113
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    • 2007
  • 본 논문은 영상의 주요한 색채들을 기반으로 하는 histogram-based 영상 검색을 위한 변형된 히스토그램 방법(SHM)을 제안한다. 히스토그램을 기초로 하는 방법은 이행이나 로테이션과 같은 이미지의 기하학적 변화에 영향을 받지 않기 때문에 컬러 영상 검색에 있어 매우 적합하다. 동일하고 비주얼한 정보를 지녔지만 컬러 강도가 변화된 영상의 경우, 전통적인 히스토그램 인터섹션(HIM)을 이용할 경우에는 현저히 성능이 떨어질 수도 있다. 이 문제를 해결하기 위해 변형된 히스토그램 방법(SHM)을 사용하였다. 실험 결과 변형된 히스토그램 방법(SHM)은 기존의 히스토그램 방식에 비해 더 높은 영상 검색 성능을 보였다.

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영역의 컬러특징과 적응적 컬러 히스토그램 빈 매칭 방법을 이용한 내용기반 영상검색 (Content-Based Image Retrieval using Color Feature of Region and Adaptive Color Histogram Bin Matching Method)

  • 박정만;유기형;장세영;한득수;곽훈성
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.364-366
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    • 2005
  • From the 90's, the image information retrieval methods have been on progress. As good examples of the methods, Conventional histogram method and merged-color histogram method were introduced. They could get good result in image retrieval. However, Conventional histogram method has disadvantages if the histogram is shifted as a result of intensity change. Merged-color histogram, also, causes more process so, it needs more time to retrieve images. In this paper, we propose an improved new method using Adaptive Color Histogram Bin Matching(AHB) in image retrieval. The proposed method has been tested and verified through a number of simulations using hundreds of images in a database. The simulation results have Quickly yielded the highly accurate candidate images in comparison to other retrieval methods. We show that AHB's can give superior results to color histograms for image retrieval.

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Content-Based Image Retrieval Using Adaptive Color Histogram

  • Yoo Gi-Hyoung;Park Jung-Man;You Kang-Soo;Yoo Seung-Sun;Kwak Hoon-Sung
    • 한국통신학회논문지
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    • 제30권9C호
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    • pp.949-954
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    • 2005
  • From the 90's, the image information retrieval methods have been on progress. As good examples of the methods, Conventional histogram method and merged-color histogram method were introduced. Dey could get good result in image retrieval. However, Conventional histogram method has disadvantages if the histogram is shifted as a result of intensity change. Merged-color histogram, also, causes more process so, it needs more time to retrieve images. In this paper, we propose an improved new method using Adaptive Color Histogram(ACH) in image retrieval. The proposed method has been tested and verified through a number of simulations using hundreds of images in a database. The simulation results have quickly yielded the highly accurate candidate images in comparison to other retrieval methods. We show that ACH's can give superior results to color histograms for image retrieval.

LED Backlight Driving Circuits and Dimming Method

  • Kwon, Oh-Kyong;Jung, Young-Ho;Lee, Yong-Hak;Cho, Hyun-Suk;Nam, Ki-Soo;In, Hai-Jung
    • Journal of Information Display
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    • 제11권4호
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    • pp.173-181
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    • 2010
  • In this paper, light-emitting-diode (LED) backlight driving circuits and dimming method for medium-sized and large liquid crystal displays (LCDs) are proposed. The double loop control method, the intelligent-phase-shifted PWM dimming method, the fast-switching current regulator, and the current matching techniques are proposed to improve not only the current regulation characteristics and the power efficiency but also the current matching characteristics and the transient response of the LED current. The brightness of the backlight using the proposed local dimming method was determined from the histogram of the local block to reduce the power consumption of the backlight without image distortion. The measured maximum power efficiency of the LED backlight driving circuit for medium-sized LCDs was 90%, and the simulation results showed an 88% maximum power efficiency of the LED backlight driving circuit for large LCDs. The maximum backlight power-saving ratio of the proposed dimming method was 41.7% in the simulation with a high-contrast image. The experiment and simulation results showed that the performance of LEDs as LCD backlight units (BLUs) improved with the proposed circuits and method.