Color Depth Research Articles

A sustainable strategy for promoting the colour strength and ultraviolet/oxidation resistance of polylactic acid fabric integrating quercetin and food-grade ester

The combination of green chemicals with biodegradable polymers is highly encouraged to enhance the sustainability of textiles and their manufacturing process. Polylactic acid (PLA) is a promising biodegradable polymer to replace petroleum-based fibres and fabrics. However, to enhance the compatibility between PLA and bio-based dyes or finishes is still a challenging issue. This study achieves a simultaneous bio-colouration/finishing on PLA using quercetin, especially focusing on the adsorption enhancement with a food-grade methyl cinnamate (MC). Results show that the exhaustion of quercetin on PLA is significantly enhanced from 26% to 64% using MC. At similar concentrations, MC enables much better colour depth (K/S) improvement on PLA than synthetic n-amyl acetate. The factorial significance follows the order: MC concentration > quercetin concentration > temperature. Under the optimal condition (0.97 g/L quercetin, 3.0 g/L MC, at 103.5 oC), a theoretical highest K/S of 6.15 can be achieved. PLA treated with quercetin/MC displays much higher b* value than that of the PLA only treated with quercetin. MC also increases colour uniformity of the PLA treated with quercetin. Quercetin/MC efficiently decreases UVB and UVA transmittance of PLA and reaches the UPF 50 + rating. Around 98% of free radicals were scavenged by 10%owf quercetin/MC treated PLA in 30 min. The marginal tensile loss (<5%) of PLA after treatment is acceptable in wet processing. In all, the strengthened colour shade and functionality of PLA using MC stemms from the adsorption enhancement, which expands the applicable area of PLA.

Effects of background color and restoration depth on color adjustment potential of a new single-shade resin composite versus multi-shade resin composites.

The objectives of this study was to evaluate the effects of background color and restoration depth on color adjustment potential of a new single-shade resin composite versus multi-shade resin composites. Two multi-shade resin composites (Spectrum TPH3 and Clearfil AP-X) marked A2 shade and a new single-shade resin composite (Charisma Diamond One) were tested. Four base shades (A1, A2, A3, and A3.5) of the same resin composite (Filtek Z250) were selected as different background colors. Dual specimens with 1-, 2-, and 3-mm restoration depth and single specimens of all materials were fabricated. CIE color coordinates were measured using a spectrophotometer, then color differences (∆E00) and translucency parameter (TP00) were calculated using the CIEDE2000 formula. Independent observers performed visual scoring. CAP-I and CAP-V values were calculated according to ΔE00 and visual scoring. The results revealed that CAP-I and CAP-V were significantly affected by resin composite type, background color, and restoration depth. CAP-I and CAP-V decreased as restoration depth increased at the same background color for all materials. Charisma Diamond One had the highest CAP-I and CAP-V values at all background colors and restoration depths, with the highest TP00 value. These findings demonstrated that color adjustment potential was dependent on resin composite type, background color, and restoration depth, so shade selection is indispensable for multi-shade resin composites. Charisma Diamond One exhibited the highest color adjustment potential and the most pronounced color shifting, contributing to simplifying the process of shade selection and improving the efficiency of clinical work.

Variations of the popliteal artery in human fetuses: preliminary study

IntroductionThis paper provides an in-depth analysis of the anatomical and morphometrical attributes of the popliteal artery (PA) in human fetuses. Additionally, it showcases significant interindividual variation in branching patterns, which are of great clinical importance in the context of vascular surgery and interventional radiology.AimThe purpose of this research was to systematically examine and categorize the anatomical and morphometrical diversities observed in the PA among a 166 sample of human fetuses at various gestational stages, spanning from 16 to 30 weeks of pregnancy.Material and methodsThe latex was injected into the 166 PA within the fetal specimens to visually analyze their anatomical features, and high-resolution digital images were captured at 24-bit color depth for detailed analysis.Results and DiscussionThe PAs were systematically classified into three distinct categories, further subcategorized into specific types. The classification system employed was based on the framework established initially by Lippert and Pabst, with modifications by Kim. The results of the analysis revealed the following distribution: Category I – it was mainly detected in the majority of specimens, comprising 144 cases (86.7%) of the sample population, and represented the most common anatomical configuration; Category II – it was found in 19 specimens (11.4%) of the total sample population (this category represented a less common anatomical variation within the PA); Category III – the rarest anatomical configuration observed in only 3 specimens (1.8%) from the sample population.ConclusionsThe frequent occurrence of short tibiofibular trunks in PA may be due to incidental lesions or postnatal developmental changes, highlighting the need for further research.

Level dyeing property and aggregation morphology of reactive black 5 on cotton fabric in a salt-free and less-water dyeing system

In a traditional water-based dyeing system, large amounts of salts and water are consumed. However, a non-aqueous media dyeing system achieves salt-free and less-water dyeing. In a non-aqueous media dyeing system, a small amount of water is used, which may affect the aggregation morphology of the dyes. The molecular dynamics of reactive dyes on the surface of cotton fibers were investigated. The results showed that the color depth of dyed cotton fabric did not change much when the dosage of salt was below 5.2% o.w.f. However, continuing to increase the amount of salt could influence the dyeing level of dyed fabric. The diffusion coefficient of dye was 0.3044 × 10−5 cm−2/s when there was no salt in dyeing system. But it was decreased by 14.03% and 16.62% when the salt concentration was increased from zero to 5.2% and 13% o.w.f., respectively. When the concentration of sodium sulfate was zero, the dye molecules in the solution displayed in the form of unimolecular molecules and dimers. However, reactive dyes mainly existed in the form of trimers and polymers when the concentration of sodium sulfate was above 5.2%. When there was no salt in the less-water dyeing system, the van der Waal energy between fiber and dye was 131.29 kJ/mol, but it was increased to 382.92 kJ/mol when the dosage of sodium sulfate was 5.2%. Therefore, with the increase of sodium sulfate dosage, the color depth of the dyed fabric changed little, but the level of dyeing property became poorer.

Low temperature non-aqueous dyeing of wool fiber with reactive dyes: A sustainable and eco-friendly method

Conventional wool dyeing usually performed at a boiling point, often destroys the wool structure, consumes plenty energy and water. Aiming at realizing the sustainable cleaning coloration of wool dyeing and keeping the excellent natural quality of wool fiber, a green dyeing technology, non-aqueous dyeing, has been successfully applied. The effect of acid-pretreatment on the reactive dye adsorption behaviors was explored and optimized the dyeing parameters by the design of experiments as well as a single factor screening way. The results demonstrate that acid-pretreatment improved the dye exhaustion rate to 99.79 % effectively by lowering the pH value of wool fiber and increased the dye fixation rate from 75.33 % to 86.93 % by enlarging the dyeing channel. Additionally, the factors that affected wool dyeing were analyzed, approving additional acetic acid had the most significant effect on the wool dyeing. The optimal wool dyeing condition included 1 % on the weight of fiber (o.w.f) acetic acid indicating low-temperature wool dyeing was achieved by this non-aqueous dyeing system at 85 °C for 60min. Furthermore, a higher color depth, constant mechanical properties, good rubbing fastness, and soaping fastness were obtained by this dyeing method. Compared with conventional dyeing, 24.28% energy consumption, 32.50% water usage, and 31.36% wastewater were reduced by this dyeing method. Therefore, sustainable non-aqueous dyeing technology is eco-friendly and has the potential to protect the wool structure from being damaged in the dyeing process.

Correlation between Colour Traits and Intrinsic Quality of Dalbergiae Odoriferae Lignum.

Dalbergia odorifera T. Chen is traditionally referred to as "Dalbergiae Odoriferae Lignum" in traditional Chinese medicine. Its quality is typically assessed subjectively based on colour and texture observations and lacks a universal grading system. Our objective was to establish a relationship between heartwood colour and the content of key constituents, including total flavonoids, six specific flavonoids, alcohol-soluble extracts, and volatile oils, to assess their impact on heartwood quality. Substantial correlations were observed between the colour depth (L*), red-green direction (a*), and yellow-blue direction (b*), as well as the content of the extract, volatile oil, total flavonoids, naringenin, formononetin, pinocembrin, and isoliquiritigenin. Specifically, a* was correlated with the extract, total flavonoids, and isoliquiritigenin, whereas b* was correlated with the extract, volatile oil, total flavonoids, naringenin, formononetin, pinocembrin, and isoliquiritigenin. The results suggested that L*, b*, and chemical composition indices, such as extract, volatile oil, total flavonoids, and naringenin, could serve as primary criteria for classifying the quality of medicinal materials. This is consistent with market classification based on colour and texture, which facilitates material identification and guides the cultivation, harvesting, and processing of D. odorifera. This study provides a scientific foundation for its future development and use.

The effect of commercial β-glucosidase and its immobilization on quality of red wine production

To find a feasible strategy for commercial β-glucosidase to enhance red wine quality, immobilized enzyme technology were considered. The preferred epoxy resin using the covalent binding method was ES-103B, and its optimal immobilization conditions were pH 4.9, 25 h immobilization time and 3 mg/g enzyme concentration. Meanwhile, this immobilized β-glucosidase still contained weak esterase activity just like commercial β-glucosidase. Free commercial β-glucosidase had different effects on the fermentation of 11 clones from three grape varieties (Syrah, Merlot and Cabernet Sauvignon) to produce wine. For example, the free enzyme increased the concentrations of β-damascenone, 1-hexanol, phenylethyl alcohol, and three ethyl esters (ethyl hexanoate, ethyl octanoate and ethyl decanoate) in a Cabernet Sauvignon (CS169) wine, but total anthocyanins level was reduced, affecting the color depth (a* value). Notably, during the alcoholic fermentation stage of CS169, immobilized β-glucosidase did not significantly decrease polyphenolic levels and color depth (a* value). What's more, using immobilized β-glucosidase under this treatment condition resulted in the highest levels of higher alcohols, ethyl esters, and acetate. Moreover, β-damascenone content increased by more than 25.35%, as well as phenethyl alcohol and benzaldehyde of benzenic compounds significantly increased by over 72.23% and two-fold, respectively. As a result, CS169 wine possessed more complex aroma and highest sensory score. Therefore, enologists can use immobilized β-glucosidase to develop various strategies that enhance wine quality and produce different wine styles.

Green fabrication of inkjet printed antibacterial wool fabric with natural gardenia yellow dye

The application of chemical synthetic dyes causes serious environmental pollution and high energy consumption. Natural plant dyes have become the most promising alternative in textile printing and dyeing processing with lower carbon emission. In this work, the properties of water-soluble gardenia yellow natural dye in inkjet printing of wool fabrics were studied in detail. The results of multiple light scattering showed that the gardenia yellow dye ink had high stability. The surface tension and viscosity of the ink can be adjusted by polyol-based organic solvents to obtain a stable droplet morphology. The influence mechanism of sodium polyacrylate sizing agent and polyol solvent on color depth and contour clarity of printing pattern have been deeply studied. After tannic treatment, gardenia yellow inkjet printed wool fabric can obtain satisfactory color fastness. At the same time, gardenia yellow dye endowed wool fabrics with good antibacterial property, and the antibacterial rate against S. aureus and E. coli can exceed 95%. In this study, both inkjet printing and color fixing process are green and non-pollution, which provides an idea reference for the production of natural green antibacterial textiles.

Bridging phycocyanin onto silk by genipin towards durable colouristic, antioxidant and UV protective properties: A sustainable strategy for fully bio-based textile

Integrating bio-extracts with natural fabric towards fully bio-based textiles is broadly advocated that benefits customers’ health and the environment. However, promoting the durability aside from using synthetic fixer or metal mordant, and exploring new source for blue bio-colorant are two challenging issues at this stage. To address this issue, a blue bio-colorant phycocyanin (PC) and a bio-crosslinker genipin (GNP) are combined to silk for durable blue appearance and UV protective/antioxidant functions. In the presence of GNP, the PC quantity on silk dramatically increases from 23.5 to 74.4 mg/g which enhances the colour depth and functionalities of silk. Moreover, the PC/GNP treated silk achieves high ratings in the washing and rubbing tests. Those two results demonstrate the dual roles of GNP for promoting the affinity/durability of PC to/on silk. The condition, i.e., 10 % owf of PC, 1 g/L GNP, 70 °C and 3 h is recommended considering the colour strength and fastness of silk, thermal stability of PC, reactivity of GNP and effective crosslinking between PC and silk. PC (10 % owf) imparts silk with high UPF value up to 39 and scavenges over 70 % of free radicals within 60 min. Almost no strength loss occurs on silk thanks to this milder processing condition. The designed PC, GNP and silk crosslinking system expands the applicable area of silk which represents the next-generation fully bio-based silk product.

The effect of oxygen vacancies on the color formation of aquamarine

Oxygen vacancy is an inherent defect of aquamarine crystals. The concentration and properties of this defect have an essential influence on aquamarine crystals and optical properties. This paper reports that blue in aquamarine crystals is due to the interaction between Fe2+ and oxygen vacancy. Infrared and Raman spectra showed that more Fe2+ replaced Al3+ in dark sample A than in light sample B. Oxygen vacancies were found in all samples. Dark sample A strongly absorbed the 830 nm band associated with Fe2+ in the UV–Vis–NIR absorption spectrum. The band gap of dark sample A was smaller than that of light sample B, and the difference in band gap was related to the concentration of oxygen vacancies. X-ray Photoelectron Spectroscopy showed that the oxygen vacancy concentration in sample A was higher than that in sample B, which showed that the oxygen vacancy concentration affected the color depth of aquamarines.

A Canvas of Spatially Arranged DNA Strands that Can Produce 24-bit Color Depth.

Nucleic acid microarray photolithography combines density, throughput, and positional control in DNA synthesis. These surface-bound sequence libraries are conventionally used in large-scale hybridization assays against fluorescently labeled, perfect-match DNA strands. Here, we introduce another layer of control for in situ microarray synthesis─hybridization affinity─to precisely modulate fluorescence intensity upon duplex formation. Using a combination of Cy3-, Cy5-, and fluorescein-labeled targets and an ensemble of truncated DNA probes, we organize 256 shades of red, green, and blue intensities that can be superimposed and merged. In so doing, hybridization alone is able to produce a large palette of 16 million colors or 24-bit color depth. Digital images can be reproduced with high fidelity at the micrometer scale by using a simple process that assigns sequence to any RGB value. Largely automated, this approach can be seen as miniaturized DNA-based painting.

Logotype as a Tool in Marketing Communication: An Analysisof Websites of Agritourism Farms

A logotype can have a considerable impact on the customers’ perception of a given business, generate experiences and become a basis for assigning specific associations to the brand (positive, negative, promotional). The aim of the present study is to verify the function of logotypes of selected agritourism establishments, especially in view of the rationale for placing them on home pages of websites, and the marketing function they fulfill. Homepages (the main web pages) of websites of 10 agritourism farms with the dimensions of 1,245 × 570 pixels (and 24 -bit color depth) were analyzed. The study involved 170 respondents ( n = 170), whose task was to indicate a single element they perceive as positive, negative, and one that in their opinion best serves the promotional goal in each of the 10 homepages. Statistical analyses were performed using the R-CRAN software version 4.0.2. The study confirmed that there are both differences and similarities in the responses regarding logotypes of the agritourism farms studied. The perception of the logotype depends strongly on the education level and age of respondents. The analyses also confirmed that there is no linear relationship between the size of the logo and the frequency at which it is indicated as a promotional element. The use of a detailed factor analysis of logotypes (with the use of the click-tracking technique) on the websites of agritourism farms is an innovative approach and allows for a relatively comprehensive assessment of the perception of logotypes by potential consumers of offers available on the market.

Analyzing the Effects of Plasma Treatment Process Parameters on Fading of Cotton Fabrics Dyed with Two-Color Mix Dyes Using Bayesian Regulated Neural Networks (BRNNs)

ABSTRACT This study used Bayesian Regulated Neural Networks (BRNN) with 10-fold cross-validation to accurately forecast fading effects of plasma treatment on cotton fabrics for a given set of parameters. By training six independent BRNN models, a reduction in model complexity and an enhancement in generalizability to unknown datasets were achieved. The input comprises plasma treatment parameters and color measurements of the cotton fabric before fading, while the output comprises color measurements after fading. The plasma treatment parameters included color depth, air (oxygen) concentration, water content and treatment time. Color measurements included CIE L*a*b*C*h and K/S values. Furthermore, 162 datasets derived from two-color mixed-dye cotton fabrics were utilized for training and testing. The outcomes revealed superior prediction performance of the BRNN compared to the Levenberg-Marquardt Neural Networks, with R2 values approaching 1 and 82.35% to 94.12% of the sample predictions lying within the acceptable color difference range. Through global sensitivity analysis, the impact of treatment parameters on fading effects was quantified, providing a scientific basis for parameter adjustment. This study not only elucidated the mechanism of plasma treatment-induced fading but also offers effective prediction tools for the intelligent and digital development of the fashion clothing fading domain.

Exploring Focus and Depth-Induced Saliency Detection for Light Field.

An abundance of features in the light field has been demonstrated to be useful for saliency detection in complex scenes. However, bottom-up saliency detection models are limited in their ability to explore light field features. In this paper, we propose a light field saliency detection method that focuses on depth-induced saliency, which can more deeply explore the interactions between different cues. First, we localize a rough saliency region based on the compactness of color and depth. Then, the relationships among depth, focus, and salient objects are carefully investigated, and the focus cue of the focal stack is used to highlight the foreground objects. Meanwhile, the depth cue is utilized to refine the coarse salient objects. Furthermore, considering the consistency of color smoothing and depth space, an optimization model referred to as color and depth-induced cellular automata is improved to increase the accuracy of saliency maps. Finally, to avoid interference of redundant information, the mean absolute error is chosen as the indicator of the filter to obtain the best results. The experimental results on three public light field datasets show that the proposed method performs favorably against the state-of-the-art conventional light field saliency detection approaches and even light field saliency detection approaches based on deep learning.

Natural dyeing of khadi cotton using rare earth salts as mordant with annatto extract

Purpose Replacing conventional mordants by benign mordants, rare earth (RE) salts have been used in the process of natural dyeing with annatto seed extract. The purpose was threefold – first, to increase the dye uptake through these new mordants; second, to have better fastness properties of dyed swatches and third, to have lesser effluent pollution, as the new RE mordants are used in one-tenth quantities only. Design/methodology/approach Sustainable natural dyeing was attained by using RE salts as mordant in one-tenth quantity, for natural dyeing, replacing the conventional mordants such as alum and ferrous sulphate. Annatto extract has been used as natural dye. Findings Through the study, it was inferred that the natural dyeing using annatto seed extract gives very good colour depth on the dyed swatches and also shows marked improvement in fastness properties. Research limitations/implications Research implication is that often it is expected that any new chemical used in the textile processing adds on to the effluent load; however, contrary to that, this study found that the use of RE salt is very beneficial as it is used in smaller quantities, but gives far better dyeing results. Practical implications RE salts can be used in natural dyeing without causing any harm to the environment and dyers. Social implications Use of RE salts in natural dyeing is a new concept. It is a very safe technology and can be used without causing any harm to the environment and the dyers. Originality/value This study is unique as it focuses on the use of RE salts in natural dyeing replacing the conventional mordants, which are used ten times more in quantity.

Implementation of Super Resolution Techniques in Geospatial Satellite Imagery

The potential for more precise land cover classifications and pattern analysis is provided by technological advancements and the growing accessibility of high-resolution satellite images, which might significantly improve the detection and quantification of land cover change for conservation. A group of methods known as "super-resolution imaging" use generative modelling to increase the resolution of an imaging system. Super-Resolution Imaging, which falls under the category of sophisticated computer vision and image processing, has a variety of practical uses, including astronomical imaging, surveillance and security, medical imaging, and satellite imaging. As computer vision is where deep learning algorithms for super-resolution first appeared, they were mostly created on RGB images in 8-bit colour depth, where the sensor and camera are separated by a few meters. But no evaluation of these methods has been done.

The effect of lightness, chroma, and hue on depth perception

AbstractColor coding of the graphical user interface (GUI) is effective in cognitive tasks, especially searching and identifying target stimuli from a crowded GUI. The perceived color depth on a flat GUI is a critical feature in mapping the stratification of information. In color science, the visual phenomena of advancing and receding colors provide the perceived depth needed for GUI design. The experiment used a series of color pairs as experimental samples to observe the phenomenon of depth perception caused by colors and obtain the judgment of the perception of color depth. This study developed a best‐fit regression model to predict the perceived color depth. The study found that the higher the lightness, the higher the chroma, and the closer the hue is to 33° (reddish color), the colors tend to be the advancing colors; the lower the lightness, the lower the chroma, and the closer the hue is to 213° (blue‐greenish color), the colors tend to be the receding colors.

Automatic Tree Height Measurement Based on Three-Dimensional Reconstruction Using Smartphone.

Tree height is a crucial structural parameter in forest inventory as it provides a basis for evaluating stock volume and growth status. In recent years, close-range photogrammetry based on smartphone has attracted attention from researchers due to its low cost and non-destructive characteristics. However, such methods have specific requirements for camera angle and distance during shooting, and pre-shooting operations such as camera calibration and placement of calibration boards are necessary, which could be inconvenient to operate in complex natural environments. We propose a tree height measurement method based on three-dimensional (3D) reconstruction. Firstly, an absolute depth map was obtained by combining ARCore and MidasNet. Secondly, Attention-UNet was improved by adding depth maps as network input to obtain tree mask. Thirdly, the color image and depth map were fused to obtain the 3D point cloud of the scene. Then, the tree point cloud was extracted using the tree mask. Finally, the tree height was measured by extracting the axis-aligned bounding box of the tree point cloud. We built the method into an Android app, demonstrating its efficiency and automation. Our approach achieves an average relative error of 3.20% within a shooting distance range of 2-17 m, meeting the accuracy requirements of forest survey.

Improvement of wet rub fastness in continuous dyeing with c.i. Sulphur Black 1 by ultrasonic treatment

C.I. Sulphur Black 1 is among the most important dyes for cellulose textiles, as this dye offers a maximum colour depth at reasonable costs. In its final form the dye is present as solid pigment, thus limited wet rub fastness can be an issue. Controlled re-oxidation of the leuco form into the oxidised dye pigment and intensive washing and soaping are measures to achieve acceptable wet rub fastness. In this study pad-steam dyeing with C.I. Sulphur Black 1 was used to investigate the effects of an intensified washing process with use of ultrasonification on rub fastness. Ultrasound was applied following to steam fixation of the dye. Introduction of ultrasound into the following process steps was investigated: water seal, warm rinse, oxidation, soaping, cold rinse. Best results in rub fastness were obtained by combination of soaping and ultrasound processing. The high shear rate near to the fibre surface led to a reduction of the thickness of the stagnant diffusion layer and more intense removal of loosely bound dispersed dye. As a result of the treatment an improvement in wet rub fastness of the dyeings was achieved. Duration of 60 – 120 s was found sufficient to remove the major part of surface bound pigments which allows an integration into continuous pad-steam dyeing processing. The results demonstrate that ultrasound washing may lead to improved rub fastness of other dyeings where a pigment is the final form of the dye. The method thus could be extended to vat dyes including indigo, or naphthol dyes.

Nondestructive detection of key phenotypes for the canopy of the watermelon plug seedlings based on deep learning

Nondestructive measurement technology of phenotype can provide substantial phenotypic data support for applications such as seedling breeding, management, and quality testing. The current method of measuring seedling phenotypes mainly relies on manual measurement which is inefficient, subjective and destroys samples. Therefore, the paper proposes a nondestructive measurement method for the canopy phenotype of the watermelon plug seedlings based on deep learning. The Azure Kinect was used to shoot canopy color images, depth images, and RGB-D images of the watermelon plug seedlings. The Mask-RCNN network was used to classify, segment, and count the canopy leaves of the watermelon plug seedlings. To reduce the error of leaf area measurement caused by mutual occlusion of leaves, the leaves were repaired by CycleGAN, and the depth images were restored by image processing. Then, the Delaunay triangulation was adopted to measure the leaf area in the leaf point cloud. The YOLOX target detection network was used to identify the growing point position of each seedling on the plug tray. Then the depth differences between the growing point and the upper surface of the plug tray were calculated to obtain plant height. The experiment results show that the nondestructive measurement algorithm proposed in this paper achieves good measurement performance for the watermelon plug seedlings from the 1 true-leaf to 3 true-leaf stages. The average relative error of measurement is 2.33% for the number of true leaves, 4.59% for the number of cotyledons, 8.37% for the leaf area, and 3.27% for the plant height. The experiment results demonstrate that the proposed algorithm in this paper provides an effective solution for the nondestructive measurement of the canopy phenotype of the plug seedlings.