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신경망을 이용한 칼라 입력장치의 칼라 보정 (Color correction of tile color input device using the Neural Network)

  • 엄경배;안창선
    • 정보교육학회논문지
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    • 제3권1호
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    • pp.134-142
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    • 1999
  • 칼라 입출력 장비의 가격이 점차로 저렴해짐에 따라 영상으로부터 물체의 형상뿐만아니라 칼라까지도 인식하여 보다 정밀한 정보를 이용하고자하는 요구가 증대되고 있다. 이를 위해서는 칼라 입출력 시스템의 정확한 칼라 표현 및 재현을 위해 칼라 보정에 관한 연구가 선행되어져야한다. 따라서, 본 논문에서는 칼라 입출력장비 중 칼라 스캐너의 칼라 보정에 관하여 연구하였다. 칼라 스캐너의 특성은 gray-balancing과 칼라 변환의 두과정을 나뉜다. 칼라 변환으로부터 gray-balancing을 분리함으로써 칼라 변환을 위해 유도되어진 변환 행렬은 모든 형태의 스캐너에 적용될 수 있어 스캐너 특성의 portability를 가능하게 한다. 또한, gray-balance된 RGB값을 얻기위한 선의 적합을 위해 최소자승법을 이용하였고, 칼라 변환을 위해 gray-balance된 RGB로부터 CIE-XYZ로 비선형적 좌표 변환 문제를 저장공간이 많이 필요하지 않고, 빠른 변환결과를 제공할 수 있는 장점이 있는 신경망 기법을 이용하여 해결 하였다. 삼차원 3자극치 공간에서 신경망 출력은 원하는 출력의 근사치를 제공하는 것을 알 수 있었다. 제안된 칼라 보정 방법은 모듈별로 분해되었기 때문에 스캐너 특성의 portability를 가능하게 하여 모든 형태의 스캐너 보정에 이용될 수 있으리라 기대된다.

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칼라 영역의 크기와 뭉침을 기술하는 칼라 동시발생 히스토그램을 이용한 영상검색 (Image Retrieval Using the Color Co-occurrence Histogram Describing the Size and Coherence of the Homogeneous Color Region)

  • 안명석;조석제
    • 정보처리학회논문지B
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    • 제13B권3호
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    • pp.275-282
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    • 2006
  • 칼라 영상을 효과적으로 검색하기 위해 칼라의 분포와 화소 간 위치 정보를 이용하여 영상을 검색하는 방법이 연구되었다. 본 논문에서는 적은 빈 개수로 칼라 분포와 화소 간 위치 정보를 효율적으로 기술하여 영상을 검색할 수 있는 기술자를 제안한다. 이는 칼라 동시발생 히스토그램의 대각성분과 비 대각성분에 가중치를 주어 에너지를 변형하고, 의미가 약한 값의 빈을 제거한 것이다. 분석을 통해 칼라 동시발생 히스토그램의 대각성분과 비 대각성분은 같은 칼라를 가지는 영역의 크기 정보와 그 영역 간의 뭉침 정보를 기술하며, 비 대각성분이 대각성분에 비해 영상검색에 더 우수한 특성을 나타낸다는 것을 확인하였다. 그래서, 비 대각성분의 가중치를 대각성분의 가중치에 비해 높게 주면 영상검색을 효과적으로 할 수 있다는 사실을 밝혔다. 64 레벨로 칼라 양자화된 RGB 칼라 좌표계에서의 실험영상에서, 가중치가 0.7에서 0.9인 제안한 기술자가 기존의 기술자에 비해 우수하게 영상을 검색함을 알 수 있었다.

색-청 공감각 인지 기반 사운드-컬러 신호 실시간 변환 시스템의 구현 (Real-time Implementation of Sound into Color Conversion System Based on the Colored-hearing Synesthetic Perception)

  • 배명진;김성일
    • 한국콘텐츠학회논문지
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    • 제15권12호
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    • pp.8-17
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    • 2015
  • 본 논문은 공감각의 한 부분인 색청(colored-hearing) 공감각을 이용한 사운드-컬러 신호 변환에 관한 연구로서, 인간이 인지 할 수 있는 오감 중 공감각적 변환이 가장 많이 일어나는 청각과 시각을 이용한 실시간 변환 시스템의 구축을 목표로 한다. 본 논문에서 제안하는 음-색 실시간 변환 방법으로서, 입력으로 사용하는 MIDI(Musical Instrument Digital Interface) 신호에서 음계(scale), 옥타브(octave) 및 음의 세기(velocity)를 추출한 후 HSI 컬러모델의 기본 요소인 색상(hue), 명도(intensity) 및 채도(saturation)에 각각 대응하여 변환하는 방법으로 단순하지만 직관적인 방법을 사용한다. 변환된 HSI 컬러 모델은 모니터 출력을 위해 RGB 컬러 모델로 최종 변환하여 출력한다. 실험에서, MIDI 입력신호 전송 H/W 시스템과 VC++ 기반 해당 사운드-컬러 변환 입 출력 S/W 모니터링 시스템을 구축하여 사운드에서 컬러로의 출력이 제안한 방식에 따라 값이 출력됨을 확인하였다.

Blazed $GxL^{TM}$ Device for Laser Dream Theatre at the Aichi Expo 2005

  • Ito, Yasuyuki;Saruta, Kunihiko;Kasai, Hiroto;Nshida, Masato;Yamaguchi, Masanari;Yamashita, Keitaro;Taguchi, Ayumu;Oniki, Kazunao;Tamada, Hitoshi
    • Journal of Information Display
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    • 제8권2호
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    • pp.10-14
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    • 2007
  • A blazed $GxL^{TM}$ device is described as having high optical efficiency (> 70% for RGB lasers), and high contrast ratio (> 10,000:1), and that is highly reliable when used in a large-area laser projection system. It has a robust design and precise stress control technology to maintain a uniform shape (bow and tilt) of more than 6,000 ribbons, a $0.25-{\mu}m$ CMOS compatible fabrication processing and planarization techniques to reduce fluctuation of the ribbons, and a reliable Al-Cu reflective film that provided protection against a high-power laser. No degradation in characteristics of the GxL device is observed after operating a 5,000- lumen projector for 2,000 hours and conducting 2,000 temperature cycling tests at $-20^{\circ}C$ and $+80^{\circ}C$. At the 2005 World Exposition in Aichi, Japan the world's largest laser projection screen with a size of 2005 inches (10 m ${\times}$ 50 m) and 6 million pixels (1,080 ${\times}$ 5,760) was demonstrated.

스테키히트 시험용 자동발색인지 시스템 개발을 위한 기초 연구(II) -자동 발색 인지 원리를 적용한 발색 자동인지시스템- (Automatic Color Recognition System for Stockigt Sizing Test (II) - Application of the automatic recognition principle of red coloration for developing the novel automatic system -)

  • 김재옥;김철환;박종열;권오철
    • 펄프종이기술
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    • 제37권1호
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    • pp.73-81
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    • 2005
  • Stockigt sizing test, which is readily affected by individual tester's bias as well as testing conditions in recognizing red coloration, had to be modified to improve its reliability and reproducibility. The novel testing system with the automatic recognizing program of red coloration was developed with the auxiliary equipments including an automatic liquid dispenser and a specimen shifter. The analysis program used a hue value of a droplet image in recognizing a point of time on red coloration instead of RGB values that are not similar to human perception of color. Hue was more sensitive in recognizing the red coloration of a droplet than the other two factors, Saturation and Value. During the test, the program records the time consumed up to a specific hue value of a droplet on a specimen. Differently from the conventional test, the automatic test could obtain a reliable and reproducible sizing degree with a minor error. Furthermore, the Stockigt sizing degree measured by the automatic system showed great correlations with contact angle and Hercules sizing degree. It means that such great correlations will contribute to the development of an integrated measuring system capable of predicting contact angle, surface tension, surface energy and Hercules sizing degree of paper and paperboards through the Stbckigt sizing test. It was meaningful to note that the automatic system for Stbckigt sizing test might be able to used to predict contact angle, Hercules and Cobb sizing degree, based upon the high correlation coefficients.

Comparison of light-transmittance in dental tissues and dental composite restorations using incremental layering build-up with varying enamel resin layer thickness

  • Rocha Maia, Rodrigo;Oliveira, Dayane;D'Antonio, Tracy;Qian, Fang;Skif, Frederick
    • Restorative Dentistry and Endodontics
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    • 제43권2호
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    • pp.22.1-22.9
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    • 2018
  • Objectives: To evaluate and compare light-transmittance in dental tissues and dental composite restorations using the incremental double-layer technique with varying layer thickness. Materials and Methods: B1-colored natural teeth slabs were compared to dental restoration build-ups with A2D and B1E-colored nanofilled, supra-nanofilled, microfilled, and microhybrid composites. The enamel layer varied from 0.3, 0.5, or 1.2 mm thick, and the dentin layer was varied to provide a standardized 3.7 mm overall sample thickness (n = 10). All increments were light-cured to $16J/cm^2$ with a multi-wave LED (Valo, Ultradent). Using a spectrophotometer, the samples were irradiated by an RGB laser beam. A voltmeter recorded the light output signal to calculate the light-transmittance through the specimens. The data were analyzed using 1-way analysis of variance followed by the post hoc Tukey's test (p = 0.05). Results: Mean light-transmittance observed at thicker final layers of enamel were significantly lower than those observed at thinner final layers. Within 1.2 mm final enamel resin layer (FERL) thickness, all composites were similar to the dental tissues, with exception of the nanofilled composite. However, within 0.5 mm FERL thickness, only the suprananofilled composite showed no difference from the dental tissues. Within 0.3 mm FERL thickness, none of the composites were similar to the dental tissues. Conclusions: The supra-nanofilled composite had the most similar light-transmittance pattern when compared to the natural teeth. However, for other composites, thicker FERL have a greater chance to match the light-transmittance of natural dental tissues.

연무에 강한 구름 판독 알고리즘 (An Enhanced Cloud Cover Reading Algorithm Against Aerosol)

  • 윤한경
    • 한국정보전자통신기술학회논문지
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    • 제12권1호
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    • pp.7-12
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    • 2019
  • 대기 중의 구름은 태양의 복사에너지를 반사하여 일조량을 변화시킬 뿐만 아니라 고 지표면의 복사에너지를 반사 시켜 기온 변화에 영향을 미치는 중요한 변수이며, 특히 지표면의 일조량은 태양에너지를 활용하는 산업분야에서 매우 중요한 필수 정보이다. 따라서 지표면에서 하늘의 관측은 현재까지 목측이 일반적인 방법이며 위성사진이나 상대적으로 관측 범위가 좁은 장비들을 사용하여 보완하는 실정이다. 따라서 목측을 대체할 운량의 관측에서 자동 관측 시스템을 위한 알고리즘이 개발되었으나 계절에 따라 대기 중의 오염물질이나 안개 등으로 관측치의 신뢰도가 현장에서 적용될 만큼 높지 않다. 따라서 연무에 강한 운량 관측 알고리즘을 개발하였으며 이는 전천 영상으로부터 연무 정도를 계산하여 수치화하고 개발된 구름판독기에 추가하여 계절과 기후에 둔감한 알고리즘을 개발하여 기존의 구름판독기와 비교하여 신뢰도를 향상시킴을 확인하였다.

심리 치유를 위한 신경건축학 기반의 바이오필릭 색채 팔레트 정량화 - 인상주의 '모네'의 풍경화를 중심으로 - (Biophilic Color Palette Development based on NeuroArchitecture towards Psychological Healing - Focused on the Landscape Painting of Impressionism 'Claude Monet' -)

  • 최윤영;이현수
    • 대한건축학회논문집:계획계
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    • 제36권2호
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    • pp.43-52
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    • 2020
  • With the advent of the Fourth Industrial Revolution, people need healing. Research in neuroarchitecture shows that people feel happy and stable when working with nature, and patients heal quickly. Therefore, This study aims to quantitatively analyze the colors that help psychological healing in the painting images depicting nature by setting 'Natural Colors' of Biophilic Design as the subject of research. So the purpose of this study was to measure Biophilic Color and to develop Biophilic Color Palette. We extracted Biophilic colors using Impressionist Monet's Landscape painting. After extracting colors using Photoshop Color Picker, we converted RGB color code to NCS color code and Munsell color code. The results of this study were as follows; The ratio of Y was high in the GY-series and YR-series. This is due to the characteristic of impressionism that expresses the change of color by light in close relationship with light. Y is universally considered to be pleasant, representing happiness, sunshine and optimism. Therefore, it is possible to create an environment that helps psychological healing by utilizing the Y-series color palette. Average Blackness was 28. Average Chromaticness was 34.61. The significance of this study is to propose a biophilic color palette that is useful for psychological healing by quantifying the color code of biophilic colors depicted and expressed with adjective images and idiomatic color names. Quantitative and empirical studies on healing colors are needed continuously and should be actively utilized in healing environment planning.

침수지도 영상의 침수심 추출기법을 활용한 내수 침수 위험지도 작성 (Mapping Urban Inundation Using Flood Depth Extraction from Flood Map Image)

  • 나서현;이수원;김주원;변성준
    • 한국수처리학회지
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    • 제26권6호
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    • pp.133-142
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    • 2018
  • Increasing localized torrential rainfall caused by abnormal climate are making higher damage to human and property through urban inundation So The need of preventive measures is being highlighted. In this study, the methodology for calculating flood depth in domestic water map using an interpolation method in order to utilizing the results of flood analysis provided only in the form of a report is suggested. In the Incheon Metropolitan City S area as the test-bed, the flood depth was calculated using the interpolating the actual flood analysis by image and verification was performed. Verification results showed that the error rate was 5.2% for the maximum flooding depth, and that the water depth value was compared to 10 random points, which showed a difference of less than 0.030 m. Also, as the results of the flood analysis were presented in various ways, the flood depth was extracted from the image of the result of the flood analysis, which changed the presentation method, and then compared and analyzed. The results of this study could be available for the use of basic data from the research on the urban penetration of domestic consumption and for decision-making of policy.

Ensemble-based deep learning for autonomous bridge component and damage segmentation leveraging Nested Reg-UNet

  • Abhishek Subedi;Wen Tang;Tarutal Ghosh Mondal;Rih-Teng Wu;Mohammad R. Jahanshahi
    • Smart Structures and Systems
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    • 제31권4호
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    • pp.335-349
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    • 2023
  • Bridges constantly undergo deterioration and damage, the most common ones being concrete damage and exposed rebar. Periodic inspection of bridges to identify damages can aid in their quick remediation. Likewise, identifying components can provide context for damage assessment and help gauge a bridge's state of interaction with its surroundings. Current inspection techniques rely on manual site visits, which can be time-consuming and costly. More recently, robotic inspection assisted by autonomous data analytics based on Computer Vision (CV) and Artificial Intelligence (AI) has been viewed as a suitable alternative to manual inspection because of its efficiency and accuracy. To aid research in this avenue, this study performs a comparative assessment of different architectures, loss functions, and ensembling strategies for the autonomous segmentation of bridge components and damages. The experiments lead to several interesting discoveries. Nested Reg-UNet architecture is found to outperform five other state-of-the-art architectures in both damage and component segmentation tasks. The architecture is built by combining a Nested UNet style dense configuration with a pretrained RegNet encoder. In terms of the mean Intersection over Union (mIoU) metric, the Nested Reg-UNet architecture provides an improvement of 2.86% on the damage segmentation task and 1.66% on the component segmentation task compared to the state-of-the-art UNet architecture. Furthermore, it is demonstrated that incorporating the Lovasz-Softmax loss function to counter class imbalance can boost performance by 3.44% in the component segmentation task over the most employed alternative, weighted Cross Entropy (wCE). Finally, weighted softmax ensembling is found to be quite effective when used synchronously with the Nested Reg-UNet architecture by providing mIoU improvement of 0.74% in the component segmentation task and 1.14% in the damage segmentation task over a single-architecture baseline. Overall, the best mIoU of 92.50% for the component segmentation task and 84.19% for the damage segmentation task validate the feasibility of these techniques for autonomous bridge component and damage segmentation using RGB images.