• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2300-2305
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• 2010

This study was performed about color-contained mud to provide fun and diversity for the event of mud self massage as a core program of Boryeong Mud Festival which has become one of representative festivals in Korea. Adjusting its own lower brightness of mud and based on the primary study performed about the expressivity of yellowish colors, inorganic colors (oxidized steel in red, ultra marine pink, ultra marine blue, chrome oxide green) were added for the development of colored mud in diverse colors on the basis of Korean traditional colors. It had been judged about each expressivity of color by methods of colormeter, naked eyes inspection and feeling of usage, etc. For the color decided, it had been examined about the coloring when it got wet with the cleaning condition so that it can be used for the event of mud self massage as a program of Boryeong Mud Festival to increase diversity of the Festival and also attempted to develope colored mud to show Korean traditional colors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.149-152
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• 2016

In this paper, we propose an algorithm to track human body of input video from a single camera. The proposed method gets the difference image between gray image of input image and one of background image and also the difference image between hue image of input image and one of background image. Then we combine the results, splits foreground and background and detect human body objects. Then each object is numbered and is tracked. The proposed method tracks each object using the intensity and hue histogram of local area in objects. The proposed method is applied to video from a camera and tracked well the hided objects and the overlapped objects.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.309-312
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• 2016

최근 실세계에 존재하는 물체의 3차원 형상과 색상을 디지털화하는 3차원 객체 복원에 대한 관심이 날로 증가하고 있다. 3차원 객체 복원은 영상 획득, 영상 보정, 점군 획득, 반복적 점군 정합, 무리 조정, 3차원 모델 표현과 같은 단계를 거처 통합된 3차원 모델을 생성한다. 그 중 반복적 점군 정합 방법은 카메라 궤적의 초기 값을 획득하는 방법으로서 무리 조정 단계에서 전역 최적 값으로의 수렴을 보장하기 위해 중요한 단계이다. 기존의 반복적 점군 정합 (iterative closest points) 방법에서는 시간이 지남에 따라 누적된 궤적 오차 때문에 발생하는 객체 표류 문제가 발생한다. 본 논문에서는 이 문제를 해결하기 위해 색상 영상에서 SIFT 특징점을 획득하고 3차원 점군을 얻은 뒤 가중치를 부여함으로써 점 군 간의 더 정확한 정합을 수행한다. 실험결과에서 기존의 방법과 비교하여 제안하는 방법이 절대 궤적 오차 (absolute trajectory error)가 감소하는 것을 확인 했고 복원된 3차원 모델에서 객체 표류 현상이 줄어드는 것을 확인했다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.257-260
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• 2001

내용 기반 영상 검색 시스템의 전체 구조를 살펴볼 때 질의영상을 입력하는 입력부, 입력된 질의영 상의 색상 및 형태정보를 분석하여 DB내의 영상과 유사도를 측정하는 검색 엔진부, 그리고 유사도 측정 결과 검색된 영상을 사용자에게 보여주는 출력부로 나눠볼 수 있다. 본 논문에서는 효율적인 검색 결과를 얻기 위해서 입력부에서는 사용자의 편의성을 고려한 인터페이스 설계를 논의하고, 검색엔진부 에서는 질의영상의 한 빈에 대하여 비교영상의 인접한 빈 중 유사도가 높은 빈을 검색한 후 그 위치 가 가까울수록 인접 빈에 높은 가중치를 부여하는 방식을 이용하여 히스토그램 인터섹션이 가지는 장점을 그대로 계승하면서 색상이나 명도, 태도에 약간의 차이가 존재하는 영상들들 효율적으로 검색할 수 있는 검색 기법을 제안하였다. 또한 출력부에서는 검색 시스템의 검색 효율이 뛰어나더라도 그것을 사용자에게 효과적으로 제시되지 못할 경우 일어날 검색 시스템의 효율성 반감을 고려하여 영상 특징 간의 관계성과 전체적인 일견의 효과를 제공할 수 있는 Iandscape 모델을 제안하였다.

• Textile Coloration and Finishing
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• v.8 no.3
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• pp.66-71
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• 1996

최근 섬유제품의 소비패턴이 고급화, 다양화, 개성화됨에 따라 이에 부응한 고기능성과 감성을 지닌 제품의 생산이 요구되고 있다. 이러한 요구에 따라 날염은 유행의 변화에 신속하게 대응하고 다양한 색상과 디자인의 변화를 부여함으로써 각광을 받으며 발전하여 왔다. 그러나 소비자의 요구는 화려한 색상과 정교한 디자인을 요구하고 있으며 점차 환경규제가 높아지고 있으므로 여기에 대응한 날염기술의 발전이 시급한 실정이다. 전사날염기술은 이러한 요구를 만족시킬수 있다는 점에서 관심의 대상이 되어 폭발적인 인기를 누리며 발전하여 왔다. 또한 전사날염은 衣料用 섬유소재 뿐 아니라 카페트, 인테리어 제품과 다른 소재에의 적용으로 확대되어지고 있다. 그러나 열전사날염은 천연섬유에 적용하기 어려운 문제점도 있다. 이 글에서는 전사날염의 개요를 알아보고 천연섬유및 그 혼방품에 대한 실용화를 위한 시도방법과 섬유제품이외의 소재에 대한 응용방법에 대하여 알아보고자 한다.

• Restorative Dentistry and Endodontics
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• v.36 no.1
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• pp.37-49
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• 2011

Objectives: The aim of this study was to evaluate the surface color of indirect resin restoration according to the layering placement of different shade of incisal composite. Materials and Methods: In this study, CIE $L^*a^*b^*$ value of 16 Body composite of Tescera ATL (Bisco, Schaumburg IL,USA) was measured by spectrophotometer (NF999, Nippon Denshuku, Japan), and compared to CIE $L^*a^*b^*$ value of Vitapan shade guide. Nine shade Incisal composite of Tescera ATL were buildup to 1 mm thickness on Body composites inlay block, and CIE $L^*a^*b^*$ value was measured. Incisal composite was ground to 0.5 mm thickness and CIE $L^*a^*b^*$ value was re-measured. Color difference between Body composite and Incisal composites layered on Body composite was calculated as a function of thickness. Results: Color difference between corresponding shade of Tescera Body composite and Vitapan shade guide was from 6.88 to 12.80. $L^*$ and $b^*$ value was decreased as layering thickness of Incisal composite on Body composite was increased. But, $a^*$ value did not show specific change tendency. Conclusions: Surface color difference between Body composites and Incisal composites layered on Body composite was increased as the layering thickness of Incisal composite increased (p < 0.05).

• Proceedings of the Korean Society for Information Management Conference
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• 1999.08a
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• pp.17-20
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• 1999

내용기반 이미지 검색에서는 이미지의 하위 영역을 구분하는 방식에 대하여 다양한 접근이 이루어져 왔다. 그중 한 가지가 Stricker와 Dimai가 제안한, 이미지를 다섯개의 영역으로 나누고 그 가운데 주재 객체가 위치할 것을 가정하여 높은 가중치를 부여하는 방법인데, 본 연구에서는 이와 같은 가정이 타당할 것인가를 S.K. Chang의 PIM(Picture Information Measure) 엔트로피를 계산하여 검증하려 하였다. 실험결과 이미지의 중앙과 그 외부 영역 사이에는 유의미한 차이가 존재하는 것으로 나타났으며, 따라서 Stricker와 Dimai의 방식을 지지할 수 있을 것으로 결론 내릴 수 있다.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.1-12
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• 2008

In this paper, we present a real-time algorithm for recognizing the vehicle color from the indoor and outdoor vehicle images based on GPU (Graphics Processing Unit) acceleration. In the preprocessing step, we construct feature victors from the sample vehicle images with different colors. Then, we combine the feature vectors for each color and store them as a reference texture that would be used in the GPU. Given an input vehicle image, the CPU constructs its feature Hector, and then the GPU compares it with the sample feature vectors in the reference texture. The similarities between the input feature vector and the sample feature vectors for each color are measured, and then the result is transferred to the CPU to recognize the vehicle color. The output colors are categorized into seven colors that include three achromatic colors: black, silver, and white and four chromatic colors: red, yellow, blue, and green. We construct feature vectors by using the histograms which consist of hue-saturation pairs and hue-intensity pairs. The weight factor is given to the saturation values. Our algorithm shows 94.67% of successful color recognition rate, by using a large number of sample images captured in various environments, by generating feature vectors that distinguish different colors, and by utilizing an appropriate likelihood function. We also accelerate the speed of color recognition by utilizing the parallel computation functionality in the GPU. In the experiments, we constructed a reference texture from 7,168 sample images, where 1,024 images were used for each color. The average time for generating a feature vector is 0.509ms for the $150{\times}113$ resolution image. After the feature vector is constructed, the execution time for GPU-based color recognition is 2.316ms in average, and this is 5.47 times faster than the case when the algorithm is executed in the CPU. Our experiments were limited to the vehicle images only, but our algorithm can be extended to the input images of the general objects.

• Restorative Dentistry and Endodontics
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• v.30 no.3
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• pp.170-177
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• 2005

This study was conducted in order to assess whether the form of the shade guide affects in deciding the color of the teeth using the shade guide Eight shade light cured composite resins (Esthet-X, Dentsply, Milford, USA) were used in this study. Shade guides including the model of maxillary central incisors, teeth-form shade guide, doughnut form shade guide, and shade guide with perforated gray shield were prepared with eight shade composite resins and provided the codes randomly After arranging the models of teeth, 19 dentists working at the clinic of the Dentistry of Chonnam University Hospital and 65 students of college of dentistry, Chonnnam University selected the shade guides corresponding to the color of each tooth on the gray board under the D$_{65}$ standard illuminant. Bl shade showed highest accuracy of about 95% among all shade guides of 3 forms applied to the test and regardless of observer, tooth form shade guide showed the highest accuracy (p < 0.05) , and the doughnut form showed the lowest accuracy (p < 0.05). At the time of deciding on the color of the teeth using the shade guides as a result of above, the forms of the shade guides can affect the accuracy, and it suggests that the development of the diversified forms of shade guides, which may obtain more accurate results, is required.

• Journal of Adhesion and Interface
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• v.15 no.4
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• pp.145-150
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• 2014

Dicyclopentadiene (DCPD)-based hydrocarbon resins are widely used as tackifiers in many applications. In particular, hydrogenated DCPD-based hydrocarbon resins are widely used in premium hot-melt-type adhesives such as hot melt adhesives (HMAs) and/or hot melt pressure-sensitive adhesives (HMPSAs), because are water-white in color and possess excellent stability to light and heat. This article discusses the adhesive performance of various hydrogenated DCPD resins when they are used as tackifiers in styrene-block-copolymer (SBC)-based HMPSAs. This article shows the correlation between the characteristics of tackifiers and the adhesive performance of SBC-based HMPSAs. The higher the softening point of the tackifier, the higher is the $T_g$, softening point, and crossover temperature of the PSAs. High aromatic H wt% content reduces the high-temperature resistance of PSAs, as suggested by the decrease in the crossover temperature and softening point of the PSAs.