• Title/Summary/Keyword: color images

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A Study on an Automatic Multi-Focus System for Cell Observation

  • Park, Jaeyoung;Lee, Sangjoon
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.47-54
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    • 2019
  • This study is concerned with the mechanism and structure of an optical microscope and an automatic multi-focus algorithm for automatically selecting sharp images from multiple foci of a cell. To obtain precise cell images quickly, a z-axis actuator with a resolution of $0.1{\mu}m$ was designed to control an optical microscope Moreover, a lighting control system was constructed to select the color and brightness of light that best suit the object being viewed. Cell images are captured by the instrument and the sharpness of each image is determined using Gaussian and Laplacian filters. Next, cubic spline interpolation and peak detection algorithms are applied to automatically find the most vivid points among multiple images of a single object. A cancer cell imaging experiment using propidium iodide staining confirmed that a sharp multipoint image can be obtained using this microscope. The proposed system is expected to save time and effort required to extract suitable cell images and increase the convenience of cell analysis.

The Characteristics of Achromatic & Chromatic Color Coordination In Current Women's Fashion -Centered on the Collections of Paris, Milan, New York, London - (현대 패션에 나타난 무채색과 유채색 코디네이션 특성 - 파리, 밀란, 뉴욕, 런던 컬렉션 중심으로 -)

  • Kwon, Hae-Sook
    • Journal of Fashion Business
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    • v.12 no.4
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    • pp.73-87
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    • 2008
  • The main objective of this research was to investigate the characteristics of achromatic & chromatic color coordination of contemporary female fashion by reviewing 'pre-a-porter Collections' of four collections (i. e. cities) - Paris, Milan, New York, London - from the periods of 2002 S/S to 2006/7 A/W. The data was collected by reviewing 'pre-a-porter Collections' magazine and total 677 observations were made. Statistical analysis of frequency and also qualitative interpretation of achromatic & chromatic color coordination characteristics were completed. The main findings were; (1) The achromatic & chromatic color coordination was identified as one of most used color coordination in contmeporary women's fashion collections. (2) Black and white mainly used for achromatic color, and brown used the most often, then followed by blue, red, yellow, green and the others for chromatic color in achromatic & chromatic coordination of contmeporary women's fashion collections. (3) The characteristics of achromatic & chromatic color coordination of modern women's fashion collections from 2002 S/S to 2006/07 A/W showed various images according to chromatic colors and tone variation. The combination of achromaticand brown color variations produced an intelligent and sophisticated image. The soft or light chromatic color and chromatic color combination projected soft, feminine and subtle feeling, while the combination of vivid or strong chromatic color and achromatic color projected a clean and strong feeling through contrasting tones of clear and bright colors. The chromatic color of deep or dark tone and black combination demonstrated supernatural and gloomy image. (4)In all four collections, Paris showed most use of two color coordination and then followed by Milan, N.Y, and London. N.Y showed higher rate of using achromatic & chromatic color coordination, and then followed by Paris, London and Milan.

Number Plate Detection System by Using the Night Images

  • Yoshimori, S.;Mitsukura, Y.;Fukumi, M.;Akamatsu, N.
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1249-1253
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    • 2003
  • License plate recognition is very important in an automobile society. This is because, since plate detection accuracy has large influence on subsequent number recognition, it is very important. However, it is very difficult to do it, because a background and a body color of cars are similar to that of the license plate. In this paper, we propose a new thresholds determination method in the various background by using the real-coded genetic algorithm (RGA). By using RGA, the most likely plate colors are decided under various lighting conditions. First, the average brightness Y values of images are calculated. Next, relationship between the Y value and the most likely plate color thresholds (upper and lower bounds)are obtained by RGA. The relationship between thresholds decided from RGA and brightness average is aproximate by using the recursive least squares (RLS) algorithm. In the case of plate detection, thresholds are decided from these functions.

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Automatic Variable Block Truncation Coding Technique (자동 가변 블록절단 부호화 기법)

  • 김태균;박래홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.12
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    • pp.73-86
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    • 1993
  • This paper proposes an automatic variable block truncation coding (BTC) method. It selects the block size automatically based on the mode of the discontinutiy measure of blocks. The combination of an automatic block-size determination scheme and the conventional BTC results in the proposed automatic variable BTC techniques. For color images, subsampling in I and Q chrominance components is adopted along with the variable BTC. To show the effectiveness of the proposed algorithm, its simulation results are compared to those of the several conventional BTC algorithms for monochrome and color test images. Computer simulation shows that the proposed algorithm gives better performance than the conventional ones based on the subjective and objective performance evaluation.

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Robust Character Image Retrieval Method Using Bipartite Matching (Bipartite Matching을 이용한 강인한 캐릭터 영상 검색 방법)

  • 이상엽;김회율
    • Journal of Broadcast Engineering
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    • v.7 no.2
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    • pp.136-144
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    • 2002
  • In this paper, a novel approach that makes use of both shape and color information to retrieve character images in terms of similarity distance from a large-capacity image database or from a streaming image database, in particular, character image logo or trademark. In order to combine both features of completely different characteristics bipartite matching has been employed in computing similarity distance, The proposed method turned out to bealso very effective in matching natural object or human-drawn images whose shape varies substantially.

Image Segmentation Using Anisotropic Diffusion and Morphology Operation (이방성 확산과 형태학적 연산을 이용한 영상 분할)

  • Kim, Hye Suk;Cho, Jeong Rae;Lim, Suk Ja
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.2
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    • pp.157-165
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    • 2009
  • Existing methods for image segmentation using diffusion can't preserve contour information, or noises with high gradients become more salient as the umber of times of the diffusion increases, resulting in over-segmentation when applied to watershed. This thesis proposes a method for image segmentation by applying morphology operation together with robust anisotropic diffusion. For an input image, transformed into LUV color space, closing by reconstruction and anisotropic diffusion are applied to obtain a simplified image which preserves contour information with noises removed. With gradients computed from this simplifed images, watershed algorithm is applied. Experiments show that color images are segmented very effectively without over-segmentation.

Immersive Multichannel Display for Virtual Reality (가상현실을 위한 몰입형 멀티채널 디스플레이)

  • Kim, Sang Youn;Im, Sung Min;Kim, Do Yoon;Lee, Jae Hyub
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.3
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    • pp.131-139
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    • 2010
  • Virtual reality(VR) technology allows users to experience the same sensation as if they look and feel real objects, and furthermore it enables users to experience phenomena in virtual environment which are difficult to illustrate in real world. A multichannel display is one of the virtual reality systems for generating high-quality images and guaranteeing a wide view angle using multiple projectors. In this work, we present the multichannel display system whose resolution is $4096{\times}1536$. We implement an automatic calibration (geometric and color) method for compensating the distorted image and color. The results clearly show the proposed system provides continuous and smooth images.

Saliency Map Based Color Image Compression for Visual Quality Enhancement of Image (영상의 시각적 품질향상을 위한 Saliency 맵 기반의 컬러 영상압축)

  • Jung, Sung-Hwan
    • Journal of Korea Multimedia Society
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    • v.20 no.3
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    • pp.446-455
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    • 2017
  • A color image compression based on saliency map was proposed. The proposed method provides higher quality in saliency blocks on which people's attention focuses, compared with non-saliency blocks on which the attention less focuses at a given bitrate. The proposed method uses 3 different quantization tables according to each block's saliency level. In the experiment using 6 typical images, we compared the proposed method with JPEG and other conventional methods. As the result, it showed that the proposed method (Qup=0.5*Qx) is about 3.1 to 1.2 dB better than JPEG and others in saliency blocks in PSNR at the almost similar bitrate. In the comparison of result images, the proposed one also showed less error than others in saliency blocks.

A Fundamental Study on the Corrention of Image by Different CCT - Using Photoshop CS2 (색온도에 따른 이미지 보정에 관한 기초적 연구 -Photoshop CS2 활용-)

  • Park, Byoung-Chul;Choi, An-Seop
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2007.05a
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    • pp.97-100
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    • 2007
  • Recently, since adjustment systems of various CCT(Correlated Color Temperature) are much developed, lighting environment of indoor has created by such various CCT lighting systems. If an indoor image of fixed CCT will quickly correct images of various CCT, lighting or interior designers can utilize it to persuade his or her clients in the indoor lighting planning process. Therefore, this paper presents fundamental data which are RGB data of seven color images for the correction of image by three different CCT.

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Enhanced Prediction Algorithm for Near-lossless Image Compression with Low Complexity and Low Latency

  • Son, Ji Deok;Song, Byung Cheol
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.2
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    • pp.143-151
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    • 2016
  • This paper presents new prediction methods to improve compression performance of the so-called near-lossless RGB-domain image coder, which is designed to effectively decrease the memory bandwidth of a system-on-chip (SoC) for image processing. First, variable block size (VBS)-based intra prediction is employed to eliminate spatial redundancy for the green (G) component of an input image on a pixel-line basis. Second, inter-color prediction (ICP) using spectral correlation is performed to predict the R and B components from the previously reconstructed G-component image. Experimental results show that the proposed algorithm improves coding efficiency by up to 30% compared with an existing algorithm for natural images, and improves coding efficiency with low computational cost by about 50% for computer graphics (CG) images.