Results 71 to 80 of about 10,210 (95)
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Effective Acne Detection using Component Image a* of CIE L*a*b* Color Space
Journal of Digital Contents Society, 2018오늘날 현대인들은 피부 관리를 신체적 건강관리의 일환으로 인식하고 있으며, 일반적으로 얼굴에서 발견되는 피부 질환 문제는 여드름이다. 본 논문에서는 CIE L*a*b* 칼라 공간을 이용한 효과적인 여드름 검출 알고리즘을 제안하였다. 성분 영상 a*의 값이 양수일 경우에 적색이므로 피부 영상에서 적색 계통의 여드름 검출에 적합하다. 먼저 RGB 칼라 공간 기반의 피부 영상은 칼라밸런싱을 통해 광 보상을 수행하고, CIE L*a*b* 칼라 공간으로 변환한다. 추출된 성분 영상 a*을 정규화하고, 임계값 처리를 통해 피부 영역과 여드름 영역을 추정하였다.
Ki-Hong Park, Hui-Seong Noh
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Color Image Encryption in CIE L*a*b* Space
2015To protect the contents of images in the mobile internet era during image storage and transmission, image encryption has achieved a tremendous success during the last decades. Currently, little attention has been paid to non-RGB color spaces such as HSV, YUV and L*a*b* color spaces in the color image encryption community.
Xin Jin +11 more
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Crop segmentation from images by morphology modeling in the CIE L*a*b* color space
Computers and Electronics in Agriculture, 2013Crop segmentation from the images taken in the outdoor fields is a complex task. In this paper, a new morphology modeling method is utilized to establish the crop color model in the CIE L^*a^*b^* (or Lab for simplification) color space and to realize the crop image segmentation.
X.D. Bai +5 more
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Conversion of Munsell color coordinates to Cie-L*a*b* system: Tables and calculation examples
Moscow University Soil Science Bulletin, 2016The widely used Munsell optical system is unsuitable for the statistical treatment of data for assessing the role of pigments in soil color. The CIE-L*a*b* system is more efficient for this purpose. This article contains a table for converting data on soil color from one scale to the other based on the example of oxisols (Brazil) and pale (Yakutia) and
Yu. N. Vodyanitskii, N. P. Kirillova
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A simple method to estimate CIE‐L*a*b* values of the skin from its videomicroscopic image
Skin Research and Technology, 1997Background/aims:The C I E (Commission Internationale de I'Eclairage)‐L*a*b* is the most popular standardized color system. The purpose of this study was to develop a simple method for estimating C I E‐L*a*b* values of the skin using a video microscope and a computer.Methods:Skin images were obtained with a video microscope of various anatomical ...
H, Takiwaki, H, Miyamoto, K, Ahsan
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Conversion of soil color parameters from the Munsell system to the CIE-L*a*b* system
Eurasian Soil Science, 2015The Munsell optical system is unsuitable for assessing the role of pigments in the color of soils by statistical methods. Empirical approaches to the transformation of the Munsell system have been proposed only for a limited range of color tones; they do not ensure the exact calculation of correlative relationships between pigments and soil colors.
N. P. Kirillova +2 more
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Neural Network based on GLCM, and CIE L*a*b* Color Space to Classify Tomatoes Maturity
2019 International Seminar on Application for Technology of Information and Communication (iSemantic), 2019Tomato (Lycopersicum commune) is one of the fruits that can be consumed directly or processed into food or drinks. In the harvesting season, tomatoes will be picked and sorted into different class depending on its size, shape, and color. The quality and the taste of tomatoes fruit depends on the maturity level of this fruit.
Eri Eli Lavindi +5 more
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Materials Research Bulletin, 2018
Abstract This work aims to explain how oxide films are correlated when exposed to UV-A radiation, due to the occurrence of similar phenomena. Thus, thin films of TiO 2 and TiO2 doped with H2WO4 or Na2WO4·2H2 O were made by spin-coating , heat treated between 650 and 800 °C and evaluated for their optical and photocatalytic properties. The
Luana Soares, Annelise Alves
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Abstract This work aims to explain how oxide films are correlated when exposed to UV-A radiation, due to the occurrence of similar phenomena. Thus, thin films of TiO 2 and TiO2 doped with H2WO4 or Na2WO4·2H2 O were made by spin-coating , heat treated between 650 and 800 °C and evaluated for their optical and photocatalytic properties. The
Luana Soares, Annelise Alves
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The fabric defect detection based on CIE L*a*b* color space using 2-D Gabor filter
The Journal of The Textile Institute, 2015A detection algorithm based on CIE L*a*b* color space is proposed to detect various colorful fabric defects more accurately and avoid the error detection resulted from losing image information of graying. CIE L*a*b* color space is transformed from XYZ space via nonlinear transformation of RGB space.
Junfeng Jing +3 more
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2008 International Conference on Computer Science and Software Engineering, 2008
The forward and reverse color space conversion models between CMYK and CIE L*a*b* based on Generalized Regression Neural Network are built by using the offset printing normal data of the ECI2002 standard color target. Then the accuracy of the models is tested. The result shows it is an efficient method to build the color space conversion between L*a*b*
Cao Congjun, Sun Jing
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The forward and reverse color space conversion models between CMYK and CIE L*a*b* based on Generalized Regression Neural Network are built by using the offset printing normal data of the ECI2002 standard color target. Then the accuracy of the models is tested. The result shows it is an efficient method to build the color space conversion between L*a*b*
Cao Congjun, Sun Jing
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