Replicating Red: Analysis of ceramic slip color with CIELAB color data

2017 ◽  
Vol 14 ◽  
pp. 432-438 ◽  
Author(s):  
James R. McGrath ◽  
Margaret Beck ◽  
Matthew E. Hill
Keyword(s):  
Color Data ◽  
Ceramic Slip ◽  
Cielab Color

scholarly journals Measuring Flesh Color Variability among Processing Clingstone Peach Genotypes Differing in Carotenoid Composition

1998 ◽  
Vol 123 (3) ◽  
pp. 433-437 ◽  
Author(s):  
Kenneth R. Tourjee ◽  
Diane M. Barrett ◽  
Marisa V. Romero ◽  
Thomas M. Gradziel
Keyword(s):  
Path Analysis ◽  
Principal Components ◽  
Prunus Persica ◽  
Color Change ◽  
Carotenoid Pigments ◽  
Flesh Color ◽  
Carotenoid Composition ◽  
Color Data ◽  
Β Carotene ◽  
Cielab Color

The variability in fresh and processed fruit flesh color of six clingstone processing peach [Prunus persica (L.) Batsch] genotypes was measured using CIELAB color variables. The genotypes were selected based on the relative fruit concentrations of β-carotene and β-cryptoxanthin. Significant (p < 0.0001) differences were found among the genotypes for the L*, a*, and b* color variables of fresh and processed fruit. Mean color change during processing, as measured by ΔELAB, was greatest for `Ross' and least for `Hesse'. A plot of the first two principal components (PCs) obtained from PC analysis of the L*, a*, and b* variables for fresh and processed fruit revealed three clusters of genotypes that match groupings based on the relative concentrations in fresh fruit of carotenoid pigments. Path analysis showed that variation in β-cryptoxanthin concentration was more precisely determined from color data than β-carotene concentration. Chemical names used: β-β-carotene (β-carotene), (3R)-β-β-caroten-3-ol (β-cryptoxanthin).

A novel green continuous dyeing of polyester fabric with excellent color data

2020 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Reda M El-Shishtawy ◽  
Nahed Ahmed ◽  
Sahar Nassar ◽  
Fayza kantouch
Keyword(s):  
Polyester Fabric ◽  
Color Data ◽  
Excellent Color

Recording Epigraphic Sources as Part of Artworks

2020 ◽  
pp. 128-144
Author(s):  
Gabriele Pieke
Keyword(s):  
Original Artwork ◽  
Art History ◽  
Historical Analysis ◽  
Relevant Information ◽  
Ancient Egypt ◽  
Historical Study ◽  
Data Set ◽  
Line Drawings ◽  
Color Data ◽  
Written Word

Art history has its own demands for recording visual representations. Objectivity and authenticity are the twin pillars of recording artistic data. As such, techniques relevant to epigraphic study, such as making line drawings, may not always be the best approach to an art historical study, which addresses, for example, questions about natural context and materiality of the artwork, the semantic, syntactic, and chronological relation between image and text, work procedures, work zones, and workshop traditions, and interactions with formal structures and beholders. Issues critical to collecting data for an art historical analysis include recording all relevant information without overcrowding the data set, creating neutral (i.e., not subjective) photographic images, collecting accurate color data, and, most critically, firsthand empirical study of the original artwork. A call for greater communication in Egyptology between epigraphy/palaeography and art history is reinforced by drawing attention to images as tools of communication and the close connection between the written word and figural art in ancient Egypt.

scholarly journals Deriving VIIRS High-Spatial Resolution Water Property Data over Coastal and Inland Waters Using Deep Convolutional Neural Network

2021 ◽  
Vol 13 (10) ◽  
pp. 1944
Author(s):  
Xiaoming Liu ◽  
Menghua Wang
Keyword(s):  
Neural Network ◽  
High Resolution ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Ocean Color ◽  
Super Resolution ◽  
Inland Waters ◽  
Coastal Oceans ◽  
Chl A ◽  
Color Data

The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite has been a reliable source of ocean color data products, including five moderate (M) bands and one imagery (I) band normalized water-leaving radiance spectra nLw(λ). The spatial resolutions of the M-band and I-band nLw(λ) are 750 m and 375 m, respectively. With the technique of convolutional neural network (CNN), the M-band nLw(λ) imagery can be super-resolved from 750 m to 375 m spatial resolution by leveraging the high spatial resolution features of I1-band nLw(λ) data. However, it is also important to enhance the spatial resolution of VIIRS-derived chlorophyll-a (Chl-a) concentration and the water diffuse attenuation coefficient at the wavelength of 490 nm (Kd(490)), as well as other biological and biogeochemical products. In this study, we describe our effort to derive high-resolution Kd(490) and Chl-a data based on super-resolved nLw(λ) images at the VIIRS five M-bands. To improve the network performance over extremely turbid coastal oceans and inland waters, the networks are retrained with a training dataset including ocean color data from the Bohai Sea, Baltic Sea, and La Plata River Estuary, covering water types from clear open oceans to moderately turbid and highly turbid waters. The evaluation results show that the super-resolved Kd(490) image is much sharper than the original one, and has more detailed fine spatial structures. A similar enhancement of finer structures is also found in the super-resolved Chl-a images. Chl-a filaments are much sharper and thinner in the super-resolved image, and some of the very fine spatial features that are not shown in the original images appear in the super-resolved Chl-a imageries. The networks are also applied to four other coastal and inland water regions. The results show that super-resolution occurs mainly on pixels of Chl-a and Kd(490) features, especially on the feature edges and locations with a large spatial gradient. The biases between the original M-band images and super-resolved high-resolution images are small for both Chl-a and Kd(490) in moderately to extremely turbid coastal oceans and inland waters, indicating that the super-resolution process does not change the mean values of the original images.

scholarly journals Effectiveness of Combination of Dentin and Enamel Layers on the Masking Ability of Porcelain

2015 ◽  
Vol 26 (6) ◽  
pp. 654-659 ◽  
Author(s):  
Noéli Boscato ◽  
Fernando Gabriel Hauschild ◽  
Marina da Rosa Kaizer ◽  
Rafael Ratto de Moraes
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Color Variation ◽  
Color Coordinates ◽  
Dentin Thickness ◽  
Cielab Color

This study evaluated the masking ability of different porcelain thicknesses and combination of enamel and/or dentin porcelain layers over simulated background dental substrates with higher (A2) and lower (C4) color values. Combination of the enamel (E) and dentin (D) monolayer porcelain disks with different thicknesses (0.5 mm, 0.8 mm, and 1 mm) resulted in the following bilayer groups (n=10): D1E1, D1E0.8; D1E0.5; D0.8E0.8; D0.8E0.5, and D0.5E0.5. CIELAB color coordinates were measured with a spectrophotometer. The translucency parameter of mono and bilayer specimens and the masking ability estimated by color variation (ΔE*ab) of bilayer specimens over simulated dental substrates were evaluated. Linear regression analysis was used to investigate the relationships translucency parameter × ΔE*, translucency parameter × porcelain thickness, and ΔE* × porcelain thickness. Data were analyzed statistically (α= 0.05). Thinner porcelain disks were associated with higher translucency. Porcelain monolayers were considerably more translucent than bilayers (enamel + dentin). Dentin porcelain was less translucent than enamel porcelain with same thickness. ΔE* was always lower when measured over A2 background. Higher ΔE* was observed for the C4 background, indicating poorer masking ability. Increased ΔE* was significantly associated with increased translucency for both backgrounds. Decreased translucency and ΔE* were associated with increased total porcelain thickness or increased dentin thickness for both backgrounds. In conclusion, increased porcelain thickness (particularly increased dentin layer) and increased porcelain opacity resulted in better masking ability of the dental backgrounds.

Evaluation of change in color of denim fabric after various industrial washing processes with different fiber composition

2014 ◽  
Vol 11 (2) ◽  
pp. 107-110
Author(s):  
Mushtaq Mangat ◽  
A. Abbasi ◽  
Jakub Wiener
Keyword(s):  
Color Space ◽  
Color Difference ◽  
Fiber Composition ◽  
Obvious Change ◽  
Washing Machines ◽  
Difference Formula ◽  
Denim Fabric ◽  
Cielab Color

Traditional denim made by using 100% cotton and novel denim made by using cotton in warp and spun PP in the weft were treated in 11 different ways on industrial garment washing machines with the help of various textile auxiliaries and pumice. There is an obvious change in color of denim. This change was measured by using Spectrophotometer. Reflectance was taken as a variable to observe the intensity of change. Color difference was measured by using the CIELab color difference formula 1976. Color space coordinates (L*, a*, b*) and color difference ΔE were calculated between the untreated denim and treated denim.

MENGESAN KEWUJUDAN JIN BERDASARKAN PERUBAHAN WARNA AURA

2017 ◽  
Vol 5 (2) ◽  
pp. 36-49
Author(s):  
YOHAN KURNIAWAN ◽  
ALEXANDER STRAK ◽  
BURHAN BIN CHE DAUD ◽  
HISHAMUDDIN MD. SOM ◽  
ABDUL AZIZ BIN SUAIB
Keyword(s):  
Experimental Study ◽  
Data Collection ◽  
The Body ◽  
Data Collection Methods ◽  
Red Color ◽  
Holy Quran ◽  
The Holy Quran ◽  
Color Data ◽  
Source Of Information ◽  
Collection Methods

Kewujudan jin merupakan suatu kepercayaan yang telah lama wujud dalam kalangan masyarakat Melayu di Nusantara, khususnya di Malaysia. Kewujudan jin telah diterangkan secara jelas dalam kitab suci Al-Quran. Walaupun terdapat sumber maklumat yang sahih akan tetapi kewujudan jin ini belum dapat dibuktikan secara saintifi k. Kajian yang dijalankan ini bertujuan untuk mengenal pasti dan memahami fenomena kewujudan jin berdasarkan warna aura. Kajian yang dijalankan merupakan kajian eksperimental dan melibatkan seorang responden yang memiliki saka. Kaedah pengumpulan data yang digunakan dalam kajian ini adalah perubahan warna aura dan temu bual. Peralatan kajian yang digunakan adalahperalatan WinAura untuk mendapatkan data perubahan warna aura, dan peralatan rakaman untuk data temu bual. Hasil kajian mendapati kewujudan jin dalam badan seseorang ditandai dengan warna merah yang wujud secara tiba-tiba dan konsisten pada bahagian badan tertentu terutamanya pada bahagian dahi, tekak atau pada bahagian badan sebelah kiri. Hasil temu bual mendapati rawatan perubatan Islam yang dilakukan oleh responden mengatakan bahawa terdapat jin dalam diri responden. Kajian ini berjaya membuktikan kewujudan jin dalam diri responden berdasarkan perubahan warna aura.   The existence of the jinn is a phenomena that has long existed among the Malay community in Nusantara, especially in Malaysia. The existence of the jinn has been described clearly in the Holy Quran. Although there is a valid source of information, unfortunately the existence of the genie has not been scientifically proven. The study was aimed to identify and understand the phenomenon of jinn existence based on aura color. The study was an experimental study and involved a respondent who has saka. Data collection methods were used in this study was aura change color and interview. The equipments was used in this research were the WinAura machine to obtain of changing color data of the aura. The study found that the existence of genie in a person’s body was characterized by suddenly and consistent appear of red color in certain parts of the body, especially on the forehead, throat or on the left side of the body. The interviews also found that the characteristics and experience that the respondent’s surrounding and the there are energy or strength that followed respondent. This study proved the existence of supernatural beings (genie) based on aura change color.

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