• Title/Summary/Keyword: Image chain

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Multiple LCD System Development of daisy-chain Method using LVDS (LVDS를 이용한 daisy-chain 방식의 다중 LCD 시스템 개발)

  • Kim, Jae-Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.12
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    • pp.2747-2754
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    • 2012
  • This thesis explains the development of multiple LCD system with the additional function to maximize the utilization of PC contents. The newly developed system is composed of host LCD and slave LCD. Host LCD decodes and outputs the image and voice of NTSC, PAL, SECAM signals. It also converts the decoded signals into LVDS signals before transmitting them to slave LCD stage. In addition, the installation of CF Memory and USB Memory helps display multi-media data. Unlike the host LCD, since not including the tuner and memory part, the slave LCD can't receive TV signals and play video signals. It only has the function to receive LVDS image signals and display on a LCD panel. This newly developed multi-LCD system has competitiveness in various aspects. With its simple structure, the failure rate, price and display power are relatively low due to its simplification of the control part. It has price and functional competitiveness as the product whose host LCD can control the entire slave LCD in terms of channel, volume, and video output.

On-Line Sorting of Cut Roses by Color Image Processing (영상처리에 의한 장미 선별)

  • 배영환;구현모
    • Journal of Biosystems Engineering
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    • v.24 no.1
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    • pp.67-74
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    • 1999
  • A prototype cut-flower sorter was developed and tested for its performance with five varieties of roses. Support plates driven by a chain mechanism transported the roses into an image inspection chamber. Color image processing algorithms were developed to evaluate the length, thickness, and straightness of stem and color, height, and maturity of bud. The average absolute errors of the system for the measurements of stem length, stem thickness, and height of bud were 19.7 mm, 0.5 mm, and 3.8 mm, respectively. The results of classification by the sorter were compared with those of a human inspector for straightness of stem and maturity of bud. The classification error for the straightness of stem was 8.6%, when both direct image and reflected image by a mirror were analyzed. The accuracy in classifying the maturity of bud varied among the varieties, the smallest for‘Nobless’(1.5%) and the largest for‘Rote Rose’(13.5%). The time required to process a rose averaged 2.06 seconds, equivalent to the capacity of 1,600 roses per hour.

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Triqubit-State Measurement-Based Image Edge Detection Algorithm

  • Wang, Zhonghua;Huang, Faliang
    • Journal of Information Processing Systems
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    • v.14 no.6
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    • pp.1331-1346
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    • 2018
  • Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

A Study on the Customer's Selection Attributes for Japanese Chain Restaurants in Seoul.Kyunggi Area (서울.경기지역 일식체인 레스토랑의 선택속성에 관한 연구)

  • Yun, Tae-Hwan;Lee, Soo-Bum;Yoon, Hye-Hyun
    • Journal of the Korean Society of Food Culture
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    • v.19 no.1
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    • pp.1-11
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    • 2004
  • The specific purposes of this study are that ; 1) to investigate the distinguished selection attributes on performance of Japanese chain restaurant according to general characteristics of the respondent ; 2) to find out relationships between selection attributes on performance for Japanese restaurant and customer's satisfaction Frequency analysis. one-way ANOVA, reliability analysis, factor analysis, multiple regression were used to analyze the data. Total 350 questionnaires were distributed and 312 were replied(89.14%). Selection attributes on performance for Japanese chain restaurant was divided into 7 factors. There are Factor1 'Store Image & Kindness', Factor2 'Sanitation & Taste', Factor3 'Approximation & Children's Menu', Factor4 'Delivery & Business Hours', Factor5 'Food Quantity & Korean Food', Factor6 'Service & Parking' Factor7 'Price & Publicity'. Monthly income, eating-out expense per once and type of companion have significant influences on selection attributes for performance. Customer's total satisfaction is significantly affected by selection attributes on performance. Factor7 'Price & Publicity' has the most significant influence on customer's satisfaction. We expect that the results can be used to provide basic information to plan marketing strategies, and take improved customer's satisfaction for Japanese chain restaurants.

A Service Framework to Digital Fulltext Image for Copyright Protection (저작권 보호를 위한 디지털 원문 서비스 프레임워크)

  • Kim Sang-Kuk;Shin Sung-Ho;Yoon Hee-Jun;Kim Tae-Jung
    • Journal of Korea Technology Innovation Society
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    • v.8 no.spc1
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    • pp.323-336
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    • 2005
  • Digital content industry is growing rapidly because of the property of high-speed networking and greater demand for digital fulltext-image. However, we know the fact that it is many difficulty in production and supply for good quality of content. Hereupon, we suggest digital fulltext-image service framework to protect copyright. More concretely, we propose integrated model and reference model to securely serve digital fulltext-image by recompositing core objects and reconstructing the value-chain structure of digital content industry to framework including the process(from its production (creators or copyrighters) to consumption (users or consumers)). Also, we construct the digital fulltext- image service system based on reference model and reconstruct its interface that occurs between core subjects.

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Image segmentation by fusing multiple images obtained under different illumination conditions (조명조건이 다른 다수영상의 융합을 통한 영상의 분할기법)

  • Chun, Yoon-San;Hahn, Hern-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.1 no.2
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    • pp.105-111
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    • 1995
  • This paper proposes a segmentation algorithm using gray-level discontinuity and surface reflectance ratio of input images obtained under different illumination conditions. Each image is divided by a certain number of subregions based on the thresholds. The thresholds are determined using the histogram of fusion image which is obtained by ANDing the multiple input images. The subregions of images are projected on the eigenspace where their bases are the major eigenvectors of image matrix. Points in the eigenspace are classified into two clusters. Images associated with the bigger cluster are fused by revised ANDing to form a combined edge image. Missing edges are detected using surface reflectance ration and chain code. The proposed algorithm obtains more accurate edge information and allows to more efficiently recognize the environment under various illumination conditions.

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Content-based Image Reterieval Using Color and Chain Code (색상과 Chain Code를 이용한 내용기반 영상검색)

  • 정성호;이상렬;황병곤
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1999.12a
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    • pp.193-198
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    • 1999
  • 본 논문에서는 영상의 내용을 나타내는 색상과 체인 코드에 기반한 복잡도와 영역 색정보를 이용한 내용 기반 영상 검색을 결합한 시스템을 구현하였다. 실험 대상으로 선택한 꽃 영상의 경우 대부분의 인식 대상 객체가 중앙에 있을 경우를 고려하여, 영상을 중앙 영역과 전체 영역으로 구분하고, 각각의 영역에서 두 개의 히스토그램을 생성한다. 그리고 전체 영역에 대한 기준치를 구하고 chain code글 이용한 복잡도를 구하였다. 중앙영역과 전체영역의 히스토그램 인터섹션을 이용한 검색을 실험하였고, 영역 색상과 복잡도를 결합한 검색도 또한 실험하였다. 기존의 히스토그램 인터섹션의 경우 Precision/Recall이 0.370/0.60인데 비해 영역 색상 히스토그램을 인터섹션한 경우의 Precision/Recall은 0.69/0.76이고 복잡도를 결합한 경우의 Precision/Recall은 0.92/0.80를 얻음으로써, 제안된 방식의 검색이 비교적 효율적임을 보였다.

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Hand Gesture Recognition using DP Matching from USB Camera Video (USB 카메라 영상에서 DP 매칭을 이용한 사용자의 손 동작 인식)

  • Ha, Jin-Young;Byeon, Min-Woo;Kim, Jin-Sik
    • Journal of Industrial Technology
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    • v.29 no.A
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    • pp.47-54
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    • 2009
  • In this paper, we proposed hand detection and hand gesture recognition from USB camera video. Firstly, we extract hand region extraction using skin color information from a difference images. Background image is initially stored and extracted from the input images in order to reduce problems from complex backgrounds. After that, 16-directional chain code sequence is computed from the tracking of hand motion. These chain code sequences are compared with pre-trained models using DP matching. Our hand gesture recognition system can be used to control PowerPoint slides or applied to multimedia education systems. We got 92% hand region extraction accuracy and 82.5% gesture recognition accuracy, respectively.

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A Study on Performances of Brand Differentiation Marketing (Focus on the Investigation of Multi-Chain Family Restaurants in Seoul) (브랜드 차별화 마케팅 성과에 관한 연구 - 서울 지역 체인 패밀리 레스토랑을 중심으로 -)

  • 최수근;전병길
    • Culinary science and hospitality research
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    • v.6 no.1
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    • pp.79-102
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    • 2000
  • This study aims at providing restaurant marketers and decision-makers both the brand differentiation information and the useful clues to achieve the high market share through the various brand differentiation opportunities in multi-chain family restaurants. Sample surveys were conducted to 245 persons who had frequent using multi-chain family restaurants in Seoul. Method of survey used are telephone interviewing. The result of analysis was shown the marketer's performances on differentiation marketing, but that there were a lot of opportunities of differentiating the brand from others. Therefore, restaurant marketers and decision-makers should try to differentiate their brand along the lines of physical attributes, service, food quality, personnel, location, or image, in order to win the guest and then get the succession of their business.

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Unsupervised Image Classification using Region-growing Segmentation based on CN-chain

  • Lee, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.20 no.3
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    • pp.215-225
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    • 2004
  • A multistage hierarchical clustering technique, which is an unsupervised technique, was suggested in this paper for classifying large remotely-sensed imagery. The multistage algorithm consists of two stages. The 'local' segmentor of the first stage performs region-growing segmentation by employing the hierarchical clustering procedure of CN-chain with the restriction that pixels in a cluster must be spatially contiguous. The 'global' segmentor of the second stage, which has not spatial constraints for merging, clusters the segments resulting from the previous stage, using the conventional agglomerative approach. Using simulation data, the proposed method was compared with another hierarchical clustering technique based on 'mutual closest neighbor.' The experimental results show that the new approach proposed in this study considerably increases in computational efficiency for larger images with a low number of bands. The technique was then applied to classify the land-cover types using the remotely-sensed data acquired from the Korean peninsula.