• Title/Summary/Keyword: Local Color

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Scene Change Detection Using Local $x-^{2}-Test$ (지역적 $x-^{2}$-테스트를 이용한 장면전환검출 기법)

  • Kim, Yeong-Rye;Rhee, Yang-Won
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.3
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    • pp.193-201
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    • 2006
  • This paper presents a method that allows for detection of all rapid and gradual scene changes. The method features a combination of the current color histogram and the local $X^{2}-test$. For the purpose of this paper, the $X^{2}-test$ scheme outperforming existing histogram-based algorithms was transformed, and a local $X^{2}-test$ in which weights were applied in accordance with the degree of brightness was used to increase detection efficiency in the segmentation of color values. This Method allows for analysis and segmentation of complex time-varying images in the most general and standardized manner possible Experiments were performed to compare the proposed local $X^{2}-test$ method with the current $X^{2}-test$ method.

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Single Color Image Based on Fog Degree Measurement (Single Color Image의 안개 정도 측정 방법)

  • Lee, Geun-Min;Kim, won-ha
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.06a
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    • pp.260-263
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    • 2017
  • 본 논문은 single image에서 측정한 빛 전달량 값과 local contrast 값을 사용하여 안개 량을 수치화하는 방법을 제안한다. 제안하는 방법은 빛 전달량 값을 사용하여 안개로 예측되는 지역을 추정하고, 추정된 안개 예측지역의 넓이와 해당 지역의 local contrast 크기의 범위를 사용하여 안개 정도를 수치화 한다. single image에서 측정 가능한 안개 의 물리적 특성들을 고려하였기 때문에 기존의 안개 검출 알고리즘들이 구분하지 못했던 영상들에서도 안개 량을 정확하게 측정하였다. 실제 빛의 산란 정도를 측정하는 감광 계수 측정계를 사용하여 측정한 안개 량과 제안하는 방법의 수치를 비교했을 때, 다양한 환경과 물체를 포함한 영상들에서 95%이상의 정확도로 안개 정도를 수치화 하였다. 또한 빛 전달량 추정 과정에서 local contrast 값을 추출하여 사용하기 때문에 기존의 빛 전달량을 측정하는 방법에서 복잡도를 거의 증가시키지 않는다.

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Image Retrieval Using Combination of Color and Multiresolution Texture Features (칼라 및 다해상도 질감 특징 결합에 의한 영상검색)

  • Chun Young-deok;Sung Joong-ki;Kim Nam-chul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9C
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    • pp.930-938
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    • 2005
  • We propose a content-based image retrieval(CBIR) method based on an efncient combination of a color feature and multiresolution texture features. As a color feature, a HSV autocorrelograrn is chosen which is blown to measure spatial correlation of colors well. As texture features, BDIP and BVLC moments are chosen which is hewn to measure local intensity variations well and measure local texture smoothness well, respectively. The texture features are obtained in a wavelet pyramid of the luminance component of a color image. The extracted features are combined for efficient similarity computation by the normalization depending on their dimensions and standard deviation vectors. Experimental results show that the proposed method yielded average $8\%\;and\;11\%$ better performance in precision vs. recall than the method using BDIPBVLC moments and the method using color autocorrelograrn, respectively and yielded at least $10\%$ better performance than the methods using wavelet moments, CSD, color histogram. Specially, the proposed method shows an excellent performance over the other methods in image DBs contained images of various resolutions.

Color Assortment Decision Factors Considered by Women's Clothing Merchandisers in Korea & United States

  • Kang, Keang-Young
    • Journal of Fashion Business
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    • v.12 no.6
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    • pp.34-45
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    • 2008
  • This research was designed to find decision factors through color assortment planning process by Korean women's clothing merchandisers and to look for if there exists difference with American women's clothing merchandisers. A merchandise assortment is a collection of various quantities of styles, colors, sizes, and prices of related merchandise, usually grouped under one classification within a department. The subjects were 20 women's clothing merchandisers who work for clothing retail stores from 5 to 22 years in US and Korea. The authoring process was done for qualitative data analysis. The decision factors of color assortment planning were identified with four stages; information search, qualitative evaluation, quantitative evaluation, and selection. There were differences of color assortment decision factors due to different business types, business sizes, fashion-ability, sourcing ways, and merchandise turnover. Noticeable color assortment decision factor differences caused by country difference were not found except considering the target market ethnicity and skin color in US market. Korea merchandisers seem to be more sensitive to present sales data usages and spot order availability in color assortments because of more local production use than American merchandisers.

Potential of Activated Carbon Derived from Local Common Reed in the Refining of Raw Cane Sugar

  • D-Abdullah, Ibrahim;Girgis, Badie S.;Tmerek, Yassin M.;Badawy, Elsaid H.
    • Carbon letters
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    • v.11 no.3
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    • pp.192-200
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    • 2010
  • Common reed (Fragmites australis), a local invasive grass, was investigated as a possible feedstock for the production of activated carbon. Dried crushed stems were subjected to impregnation with phosphoric acid (30, 40 and 50%) followed by pyrolysis at $400{\sim}500^{\circ}C$ with final washing and drying. Obtained carbons were characterized by determining: carbon yield, ash content, slurry pH, textural properties and capacity to remove color bodies from factory-grade sugar liquor. Produced carbons possessed surface area up to 700 $m^2/g$, total pore volumes up to 0.37 $cm^3/g$, and proved to be microporous in nature. Decolorization of hot sugar liquor at $80^{\circ}C$ showed degrees of color removal of 60 up to 77% from initial color of 1100~1300 ICU, at a carbon dose of 1.0 g/100 ml liquor. No correlation seems to hold between synthesis conditions and % R but depends on the degree of microporosity. A commercial activated carbon N showed a comparative better color removal capacity of 91%. Common reed proved to be a viable carbon precursor for production of good adsorbing carbon suitable for decolorization in the sugar industry, as well as in other environmental remediation processes.

Effects of Oriental Medical Treatment on ADHD - A retrospective clinical survey - (ADHD에 대한 한방치료의 효과에 대한 후향적 관찰 연구)

  • Byun, Ki-Won;Kim, Joo-Ho;Kim, Jong-Woo;Chung, Sun-Yong
    • The Journal of Korean Medicine
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    • v.32 no.4
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    • pp.75-82
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    • 2011
  • Objectives: This case report aimed to evaluate whether oriental medical treatment was effective on ADHD through a records review of a local oriental medical clinic. Methods: We reviewed clinical charts of a local oriental medical clinic between December 2007 and September 2010 to select ADHD patients. Among those patients, for comparison before and after treatment, we selected cases which had at least twice Stroop test results and 2 months of treatment. Baseline, 3-month and 6-month Stroop test results were compared. Oriental medical treatment consisted of 2 months' herbal medicine, periodic acupuncture and exercise. Results: 1. 3-month data showed that subjects were 12 and improved word score and word-color score of Stroop test. 2. 6-month data showed that subjects were 20 and improved word score, color score, and word-color score of Stroop test. Conclusions: 1. Relatively short term herbal medication and exercise are effective on the word score and word-color score of the Stroop test. 2. After short term herbal medication, continuous exercise maintained the effects of short term oriental medical treatment. 3. We need to consider the balance of left and right as an important point of exercise, but further study is needed.

A Study on the Landscape Color Analysis of the Energy Industry in Jeju Rural Area (제주 농촌지역의 에너지사업 유무에 따른 경관색채 분석 연구)

  • Kim, Eun-Ja;Han, Chae-Won;Lim, Chang-Su;Park, Mee-Jung;Choi, Jin-Ah;Kwon, Soon-Chan
    • Journal of the Korean Institute of Rural Architecture
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    • v.19 no.4
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    • pp.41-48
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    • 2017
  • The objective of this study is to propose a color plan for rural villages that seeks harmony between natural and artificial environments in consideration of the fact that as new and renewable energy businesses increase drastically, problems of landscape color occur in rural areas. To this end, the current color conditions over the target regions are examined in context of energy businesses; a land simulation is developed; a survey on the preferences is conducted with the result analyzed; and finally, a color plan for villages where energy businesses and non-energy businesses are conducted. For the survey, 40 photos including simulation photos and original photos of villages were used: the photos before and after the simulation was applied were shown to village residents. The validity of the selected colors was then evaluated accordingly. The survey was conducted among 15 residents in villages where energy businesses were conducted and 15 in villages where non-energy businesses were conducted. As new and renewable energy methods such as solar energy panels are utilized over rural villages in the future, selecting artificial environmental colors that can better represent the region's identity and that are in harmony with natural environments will be an important factor in community center or housing remodeling projects, local community development projects, and so forth. It is expected that the present study can be utilized as the basis for village color plans that seek to consider actual local conditions based on objective data rather than selecting colors uniformly or based on subjective judgment.

Color Image Retrieval Using Block-based Classification (블록단위 특성분류를 이용한 컬러영상 검색)

  • 류명분;우석훈;박동권;원치선
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1996.06a
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    • pp.63-66
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    • 1996
  • In this paper, we propose a new content-based color image retrieval algorithm. The algorithm makes use of two features; colors as global features and block classification results as local features. More specifically, we obtain R, G, B color histograms and classify nonoverlapping small image blocks into texture, monotone, and various edges, then using these histograms and classification results were make a similarity measure. Experimental results show that retrieval rate of the proposed algorithm is higher than the previous method.

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Color image retrieval using block-based classification (블록단위 특성분류를 이용한 컬러 영상의 검색)

  • 류명분;우석훈;박동권;원치선
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.12
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    • pp.81-89
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    • 1997
  • In this paper, we propose a new image retrieval algorithm using the block classification. More specifically, we classify nonoverlappint small image blocks into texture, monotone, and various edges. Using these classification results and the RGB color histogram, we propose a new similarity measure which considers both local and global fretures. According to our experimental results using 232 color images, the retrieval efficiencies of the proposed and the previous methods were 0.610 and 0.522, respectively, which implies that the proposed algorithm yields better performance.

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