Applications of Tetrahedral Interpolation in Color Conversion Model

2008 ◽  
Author(s):  
Du Bin ◽  
Zhou Shi-sheng ◽  
Li Ni
Keyword(s):  
Conversion Model ◽  
Color Conversion

P‐12.6: Research on Color Conversion Model of Multi‐Primary‐Color Display

2021 ◽  
Vol 52 (S2) ◽  
pp. 982-984
Author(s):  
Yan Sun ◽  
Yanhui Xi ◽  
Xiaomang Zhang ◽  
Tiankuo Shi ◽  
Yifan Hou ◽  
...  
Keyword(s):  
Primary Color ◽  
Conversion Model ◽  
Color Display ◽  
Color Conversion

scholarly journals Tool Wear Prediction Using a Hybrid of Tool Chip Image and Evolutionary Fuzzy Neural Network

2021 ◽  
Author(s):  
Cheng-Jian Lin ◽  
Jyun-Yu Jhang ◽  
Shao-Hsien Chen
Keyword(s):  
Neural Network ◽  
Tool Wear ◽  
Fuzzy Neural Network ◽  
Chip Color ◽  
Percentage Error ◽  
Wear Prediction ◽  
Conversion Model ◽  
Tool Wear Prediction ◽  
Fuzzy Neural ◽  
Color Conversion

Abstract This paper proposed an evolutionary fuzzy neural network (EFNN) for tool wear prediction. The material chip is affected by cutting conditions during the cutting process. The different tool wear status causes different chip color which means the color of material chip can be an important factor for tool wear prediction. In this study, an industrial camera is used to capture chip image and convert it into CIE xy chromaticity features through a color conversion model. In addition, to improve the prediction accuracy, a dynamic group cooperative particle swarm optimization (DGCPSO) is proposed to optimize the EFNN parameters. The cutting time and CIE xy value are used as the input of the EFNN, and the output is predicted tool wear value. The experimental results show that the mean absolute percentage error (MAPE) of the proposed EFNN is 2.83% better than other methods.

Research on Color Space Conversion Model between XYZ and RGB

2010 ◽  
Vol 428-429 ◽  
pp. 466-469
Author(s):  
Xin Wu Li
Keyword(s):  
Color Space ◽  
Digital Camera ◽  
Experimental Sample ◽  
Three Dimension ◽  
Conversion Error ◽  
Color Target ◽  
Conversion Model ◽  
Color Space Conversion ◽  
Correct Color ◽  
Color Conversion

Color space conversion for color digital camera is a key and difficult technique in the color reproduction information optics. A new color space conversion model based on subsectional fitting to correct color conversion error camera image is presented. First, color error sources and color rendering mechanism are analyzed in theory; then the paper takes standard color target for experimental sample and substitutes color blocks in color shade district for complete color space to solve the difficulties of experimental color blocks selecting; third the model uses subsectional fitting algorithm to built three dimension color conversion curve to correct color conversion error; Finally the experimental results show that the model can color space conversion accuracy of color digital camera and can be used in color conversion for digital camera practically.

Automatic Color Conversion Method for Color-Defective Vision about Presentation Slides

2009 ◽  
Vol 129 (4) ◽  
pp. 686-695 ◽  
Author(s):  
Sho Yokota ◽  
Akinori Sasaki ◽  
Hiroshi Hashimoto ◽  
Yasuhiro Ohyama
Keyword(s):  
Conversion Method ◽  
Color Conversion ◽  
Defective Vision

HSI COLOR CONVERSION AND HOG FEATURE EXTRACTION IN TRAFFIC LIGHT DETECTION USING AdaBSF

2017 ◽  
Vol 5 (3) ◽  
pp. 20
Author(s):  
JEBISHA J ◽  
MONISHA V ◽  
JEMI B. FEMILA ◽  
◽  
◽  
...  
Keyword(s):  
Feature Extraction ◽  
Traffic Light ◽  
Light Detection ◽  
Color Conversion

scholarly journals Development of Quantum Dot (QD) Based Color Converters for Multicolor Display

Nanomaterials ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1089
Author(s):  
Muhammad T. Sajjad ◽  
Ashu K. Bansal ◽  
Francesco Antolini ◽  
Eduard Preis ◽  
Lenuta Stroea ◽  
...  
Keyword(s):  
Polymer Matrix ◽  
Cost Effective ◽  
Final Size ◽  
Force Microscopy ◽  
Morphological Studies ◽  
Color Displays ◽  
Transmission Electron ◽  
Different Temperatures ◽  
Color Conversion ◽  
Temperature Time

Many displays involve the use of color conversion layers. QDs are attractive candidates as color converters because of their easy processability, tuneable optical properties, high photoluminescence quantum yield, and good stability. Here, we show that emissive QDs with narrow emission range can be made in-situ in a polymer matrix, with properties useful for color conversion. This was achieved by blending the blue-emitting pyridine based polymer with a cadmium selenide precursor and baking their films at different temperatures. To achieve efficient color conversion, blend ratio and baking temperature/time were varied. We found that thermal decomposition of the precursor leads to highly emissive QDs whose final size and emission can be controlled using baking temperature/time. The formation of the QDs inside the polymer matrix was confirmed through morphological studies using atomic force microscopy (AFM) and transmission electron microscopy (TEM). Hence, our approach provides a cost-effective route to making highly emissive color converters for multi-color displays.

scholarly journals Characterization and Action Mechanism Analysis of VvmiR156b/c/d-VvSPL9 Module Responding to Multiple-Hormone Signals in the Modulation of Grape Berry Color Formation

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 896
Author(s):  
Ziwen Su ◽  
Xicheng Wang ◽  
Xuxian Xuan ◽  
Zilu Sheng ◽  
Haoran Jia ◽  
...  
Keyword(s):  
Color Change ◽  
Grape Berry ◽  
Anthocyanin Synthesis ◽  
Structural Genes ◽  
Expression Levels ◽  
Color Formation ◽  
Grape Berries ◽  
Ripening Stages ◽  
Color Conversion ◽  
Hormone Signals

In recent years, more and more reports have shown that the miR156-SPL module can participate in the regulation of anthocyanin synthesis in plants. However, little is known about how this module responds to hormonal signals manipulating this process in grapes. In this study, exogenous GA, ABA, MeJA, and NAA were used to treat the ‘Wink’ grape berries before color conversion, anthocyanin and other related quality physiological indexes (such as sugar, aroma) were determined, and spatio-temporal expression patterns of related genes were analyzed. The results showed that the expression levels of VvmiR156b/c/d showed a gradually rising trend with the ripening and color formation of grape berries, and the highest expression levels were detected at day 28 after treatment, while the expression level of VvSPL9 exhibited an opposite trend as a whole, which further verifies that VvmiR156b/c/d can negatively regulate VvSPL9. Besides, VvmiR156b/c/d was positively correlated with anthocyanin content and related genes levels, while the expression pattern of VvSPL9 showed a negative correlation. Analysis of promoter cis-elements and GUS staining showed that VvmiR156b/c/d contained a large number of hormone response cis-elements (ABA, GA, SA, MeJA, and NAA) and were involved in hormone regulation. Exogenous ABA and MeJA treatments significantly upregulated the expression levels of VvmiR156b/c/d and anthocyanin structural genes in the early stage of color conversion and made grape berries quickly colored. Interestingly, GA treatment downregulated the expression levels of VvmiR156b/c/d and anthocyanin structural genes in the early color-change period, but significantly upregulated in the middle color-change and ripening stages, therefore GA mainly modulated grape berry coloring in the middle- and late-ripening stages. Furthermore, NAA treatment downregulated the expression levels of VvmiR156b/c/d and anthocyanin structural genes and delayed the peak expression of genes. Meanwhile, to further recognize the potential functions of VvmiR156b/c/d, the mature tomato transient trangenetic system was utilized in this work. Results showed that transient overexpression of VvmiR156b/c/d in tomato promoted fruit coloring and overexpression of VvSPL9 inhibited fruit coloration. Finally, a regulatory network of the VvmiR156b/c/d-VvSPL9 module responsive to hormones modulating anthocyanin synthesis was developed. In conclusion, VvmiR156b/c/d-mediated VvSPL9 participated in the formation of grape color in response to multi-hormone signals.

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