• Title/Summary/Keyword: 이진이미지

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Security Algorithm for Vehicle Type Recognition (에지영상의 비율을 이용한 차종 인식 보안 알고리즘)

  • Rhee, Eugene
    • Journal of Convergence for Information Technology
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    • v.7 no.2
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    • pp.77-82
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    • 2017
  • In this paper, a new security algorithm to recognize the type of the vehicle with the vehicle image as a input image is suggested. The vehicle recognition security algorithm is composed of five core parts, such as the input image, background removal, edge areas extraction, pre-processing(binarization), and the vehicle recognition. Therefore, the final recognition rate of the security algorithm for vehicle type recognition can be affected by the function and efficiency of each step. After inputting image into a gray scale image and removing backgrounds, the binarization is performed by extracting only the edge region. After the pre-treatment process for making outlines clear, the type of vehicles is categorized into large vehicles, passenger cars and motorcycles through the ratio of height and width of the vehicle.

Design and Fabrication of Binary Diffractive Optical Elements for the Creation of Pseudorandom Dot Arrays of Uniform Brightness (균일 밝기 랜덤 도트 어레이 생성을 위한 이진 회절광학소자 설계 및 제작)

  • Lee, Soo Yeon;Lee, Jun Ho;Kim, Young-Gwang;Rhee, Hyug-Gyo;Lee, Munseob
    • Korean Journal of Optics and Photonics
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    • v.33 no.6
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    • pp.267-274
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    • 2022
  • In this paper, we report the design and fabrication of binary diffractive optical elements (DOEs) for random-dot-pattern projection for Schlieren imaging. We selected the binary phase level and a pitch of 10 ㎛ for the DOE, based on cost effectiveness and ease of manufacture. We designed the binary DOE using an iterative Fourier-transform algorithm with binary phase optimization. During initial optimization, we applied a computer-generated pseudorandom dot pattern of uniform intensity as a target pattern, and found significant intensity nonuniformity across the field. Based on the evaluation of the initial optimization, we weighted the target random dot pattern with Gaussian profiles to improve the intensity uniformity, resulting in the improvement of uniformity from 52.7% to 90.8%. We verified the design performance by fabricating the designed binary DOE and a beam projector, to which the same was applied. The verification confirmed that the projector produced over 10,000 random dot patterns over 430 mm × 430 mm at a distance of 5 meters, as designed, but had a slightly less uniformity of 84.5%. The fabrication errors of the DOE, mainly edge blurring and spacing errors, were strong possibilities for the difference.

Performance Improvement of Parity Logging Scheme in RAID 5 by Eliminating Redundant Parity Image (중복 패리티 이미지 제거를 통한 RAID 5에서의 패리티 로킹 기법 성능 개선)

  • Ghil, Jun-Ho;Lee, Min-Young;Lee, Jin-Ho;Park, Myong-Soon
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.4
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    • pp.543-553
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    • 1995
  • While RAID 5 disk arrays offer advantages of performance and reliability on wide variety of applications, they suffer from the performance degradation with write jobs. To reduce the effect of this problem, parity logging scheme was suggested. This scheme reduces disk busy time by transforming many small random accesses into large sequential accesses. This paper presents a new parity logging technique which prevents parity update image from redundant storing in the disk buffer and reduces parity maintenance overhead. A analytical model and several simulation results of our proposed scheme are presented.

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Korean Image Preferences Based on Lifestyle Segments (라이프스타일 집단에 따른 캐주얼웨어의 한국적 이미지 선호)

  • Hwang, Jin-Sook;Lee, Jin
    • Journal of the Korea Fashion and Costume Design Association
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    • v.12 no.2
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    • pp.91-105
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    • 2010
  • The purposes of this study were to segment consumers by life style groups and to investigate the differences among the segmented groups in regard to Korean image preferences in casual wear. The subjects of the study were 653 women consumers who lived in Seoul. Data were collected from July to September, 2007. Statistical analyses used in the study were factor analysis, cluster analysis, ANOVA, and Scheffe test. The results showed that there were seven factors of life style: fashion and appearance interest, pride in Korea, sociability, interest in foreign culture, family centered, sports/culture, and interest in Korean food. Based on the seven factors, the consumers were segmented into three groups. They were fashion/diverse culture interest group, family/recreation oriented group, and sociability/family oriented group. The results showed that there were significant differences among the lifestyle segmented groups in regard to Korean image preferences for color, fabric, pattern, and categories of casual wear, and the intention to purchase the casual wear. For example, fashion/diverse culture interest group preferred diverse Korean prints, red, orange, blue and white colors, natural fabrics, and various types of casual wear. Also, the group has the highest interest and intention in wearing Korean image casual wear.

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Adaptive Image Labeling Algorithm Using Non-recursive Flood-Fill Algorithm (비재귀 Flood-Fill 알고리즘을 이용한 적응적 이미지 Labeling 알고리즘)

  • Kim, Do-Hyeon;Gang, Dong-Gu;Cha, Ui-Yeong
    • The KIPS Transactions:PartB
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    • v.9B no.3
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    • pp.337-342
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    • 2002
  • This paper proposes a new adaptive image labeling algorithm fur object analysis of the binary images. The proposed labeling algorithm need not merge/order of complex equivalent labels like classical labeling algorithm and the processing is done during only 1 Pass. In addition, this algorithm can be extended for gray-level image easily. Experiment result with HIPR image library shows that the proposed algorithm process more than 2 times laster than compared algorithm.

Grid Pattern Segmentation Using High Pass Filter (고역통과 필터를 이용한 그리드 패턴 영역분할)

  • Joo, Ki-See
    • Journal of Advanced Navigation Technology
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    • v.11 no.1
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    • pp.59-63
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    • 2007
  • In this paper, an image segmentation algorithm is described to extract both the contour line and the inner grid patterns of body in case of ambiguous environment. The binary method using a threshold is used to extract image boundary. To reduce image noise, the $3{\times}3$ hybrid high pass filter adjusted for applying 3D information extraction of complicated shape object is proposed. This hybrid high pass filter algorithm can be applied to extract complicated shape object such as 3D body shape, CAD system, and factory automation since the processing time for image denoising is shorter than the conventional methods.

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A Case Study on the Urban Image through Color (색채를 통해 나타나는 도시이미지 사례 연구)

  • Lee, Jin-Young;Kim, Young-Joo
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2009.04a
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    • pp.321-326
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    • 2009
  • For building an urban image, various elements such as symbolic building, ethnic characteristics, historical background, natural environment, and diverse cultural elements can influence on it. Many cities in developed countries are showing their unique urban image reflecting their own culture, history, and aesthetic tastes. Especially color, one of the major design elements, has greater impact than other visual factors to form an urban characteristic. Despite the long history and cultural background, Seoul as a capital city of Korea does not show an unique city image with the perspective of color. Recently, Seoul has been designated as '2010 World Design Capital' and implements various urban design projects. As a leading city of design, Seoul is trying to make its urban identity through the own symbolic environment color. The purpose of this study is to find an environmental color scheme for developing a desirable urban design through several cases of foreign countries. For the purpose, Paris, London, Amsterdam, and Tokyo were selected as case cities. Each of the cities showed their own cultural characteristics and made their unique urban image by appropriate usage of their natural environment, symbolic building, emblem of country, and so on. We need to consider these successful cases to build up the image of Seoul.

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A Development of Augmented Reality based Campus Guide Application (증강현실기반 캠퍼스 가이드 애플리케이션 개발)

  • Jeon, Yong-Tae;Kim, Yong-Min;Lee, Jin-Mu;Park, Dong-Hui;Jung, In-Muk;Lee, Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.470-472
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    • 2016
  • 최근 현실의 이미지나 배경에 3차원 가상 이미지를 겹쳐서 하나의 영상으로 보여주는 증강현실 기술들이 개발되고 있으며, 특히 애플리케이션에 따른 증강현실기반의 소프트웨어 들이 많이 개발되어 지고 있다. 하지만 대부분의 증강현실 기반의 애플리케이션은 GPS를 사용하여 사용자에게 서비스를 제공하는데, GPS값이 정확하지 않아 위치에 대한 신뢰도가 떨어지는 단점을 가지고 있다. 따라서 본 연구에서는 기존 GPS 기능과 지자기, 자이로, 가속도 센서를 통한 방향감지 인식을 포함하여 증강현실 기반의 애플리케이션을 개발하여 위치에 대한 신뢰도를 증가하고자 한다. 특히, 캠퍼스 가이드 서비스 애플리케이션을 개발하여 기존의 다른 애플리케이션의 문제점을 개선하고자 한다.

Korean Image Preferences in Casual Wear (캐쥬얼 웨어에서 선호하는 한국적 이미지에 관한 연구)

  • Hwang, Jin-Sook; Kim, Yun-Hee;Lee, Jin;Kwon, Sun-Jin
    • Journal of the Korea Fashion and Costume Design Association
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    • v.10 no.2
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    • pp.179-191
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    • 2008
  • This study investigated Korean image preferences in casual wear of women consumers and the effects of demographic characteristics on Korean image preferences in casual wear. The subjects of the study were 653 women consumers who lived in Seoul. Data were collected during July, 2007. Statistical analyses used in the study were frequency, ANOVA and Duncan test. The results showed that respondents preferred to express Korean image by color in their casual wear. When it comes to specific preferences for pattern, fabric, and color, circular shape was most preferred as pattern, cotton was most preferred as fabric, and white color was most preferred as color. In addition, there were demographic differences in regard to preferences for pattern, fabric, color, and types of casual wear. The results showed that there were differences in age, occupation, income, and residence. For example, in regard to age, there were differences in the preferences for fabric, color, and types of casual wear. The older respondents preferred natural fabrics more while the younger respondents seemed to accept synthetic fabrics in their casual wear. Also, women aged over 40 preferred cotton pants for their casual wear. This study showed that demographic characteristics are important variables in segmenting the preferences of Korean image for casual wear market.

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The ConvexHull using Outline Extration Algorithm in Gray Scale Image (이진 영상에서 ConvexHull을 이용한 윤곽선 추출 알고리즘)

  • Cho, Young-bok;Kim, U-ju;Woo, Sung-hee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.162-165
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    • 2017
  • The proposed paper extracts the region of interest from the x-lay input image and compares it with the reference image. The x-ray image has the same shape, but the size, direction and position of the object are photographed differently. In this way, we measure the erection difference of darkness and darkness using the similarity measurement method for the same object. Distance measurement also calculates the distance between two points with vector coordinates (x, y, z) of x-lay data. Experimental results show that the proposed method improves the accuracy of ROI extraction and the reference image matching time is more efficient than the conventional method.

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