Establishment of a color tolerance for yarn‐dyed fabrics from different color‐depth yarns

2021 ◽  
Author(s):  
Xiaoyan Wang ◽  
Yang Jiang ◽  
Jinmei Du ◽  
Changhai Xu
Keyword(s):  
Dyed Fabrics ◽  
Different Color ◽  
Color Depth

Improvement of Light Fastness of Liyuan Blue FL-RN Reactive Dye

2015 ◽  
Vol 1120-1121 ◽  
pp. 198-202
Author(s):  
Zahid Latif ◽  
Fan Liu ◽  
Lin Wei He ◽  
Ying Jie Cai
Keyword(s):  
Cotton Fabric ◽  
Reactive Dye ◽  
International Standards ◽  
Light Fastness ◽  
Uv Absorber ◽  
Fastness Property ◽  
Dyed Fabrics ◽  
Color Depth ◽  
Light Medium

Cotton fabric was dyed with Liyuan Blue FL-RN reactive dye. The dye exhaustion and fixation percentages were calculated for all light, medium and dark shades. The dye shows very good exhaustion and fixation properties. Dyed samples were tested for light fastness property as per international standards. The results indicates the dye has a good light fastness property. The effect of UV absorber was studied in order to improve light fastness property. Cationic UV absorber CANFIX SUN was applied on the dyed cotton fabric by exhaust method. The results show that the color depth was similar after UV absorber treatment. In all the cases the use of UV absorber improved the light fastness of dyed fabrics as compared to untreated dyed samples.

scholarly journals Multifunctional Dyeing of Wool Fabrics Using Selenium Nanoparticles

Polymers ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 191
Author(s):  
Tarek Abou Elmaaty ◽  
Sally Raouf ◽  
Khaled Sayed-Ahmed ◽  
Maria Rosaria Plutino
Keyword(s):  
Spherical Shape ◽  
Xrd Analysis ◽  
Selenium Nanoparticles ◽  
Localized Surface Plasmon ◽  
Color Characteristics ◽  
Wool Fabrics ◽  
Wool Fibers ◽  
Fastness Property ◽  
Dyed Fabrics ◽  
Color Depth

This work aims to utilize selenium nanoparticles (Se-NPs) as a novel dyestuff, which endows wool fibers with an orange color because of their localized surface plasmon resonance. The color characteristics of dyed fibers were evaluated and analyzed. The color depth of the dyed fabrics under study was increased with the increase in Se content and dyeing temperature. The colored wool fabrics were characterized using scanning electron microscopy (SEM), energy dispersive spectroscopy (EDX) and an X-ray diffraction (XRD) analysis. The results indicated that spherical Se-NPs with a spherical shape were consistently deposited onto the surface of wool fibers with good distribution. In addition, the influence of high temperature on the color characteristics and imparted functionalities of the dyed fabrics were also investigated. The obtained results showed that the proposed dyeing process is highly durable to washing after 10 cycles of washes, and the acquired functionalities, mainly antimicrobial activity and UV-blocking properties, were only marginally affected, maintaining an excellent fastness property.

scholarly journals Study on structure and properties of natural indigo spun-dyed viscose fiber

e-Polymers ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 327-335
Author(s):  
Jin Zheng ◽  
Yangliu Wang ◽  
Qi Zhang ◽  
Dongshuang Wang ◽  
Shuai Wang ◽  
...  
Keyword(s):  
Cellulose Fiber ◽  
Viscose Fiber ◽  
Structure And Properties ◽  
Natural Pigment ◽  
Dyeing Property ◽  
Grade 5 ◽  
Relative Standard ◽  
Grade 3 ◽  
Different Color ◽  
Color Depth

Abstract To improve the level dyeing property and colorfastness of natural pigment-dyed cellulose fiber, a study on the structure and properties of natural indigo spun-dyed viscose fiber was carried out systematically. Herein, the natural pigment-dyed cellulose fiber was prepared by wet-spinning technique, and the microstructure of the colored fiber was comprehensively studied. Fabrics with different color depths were obtained by adjusting the color value and the content of indigo pigment. The natural indigo was evenly embedded in the viscose fiber, and the results indicated the existence of a direct ratio relationship between the performance of natural indigo and the color depth of the fiber. The level dyeing property and colorfastness of the fabric were tested. The fabric exhibited excellent dyeing uniformity, as indicated by the relative standard deviation of the surface color depth value on the fabric, which was no more than 2.39%. The colorfastness of natural indigo spun-dyed fiber was outstanding even when mordant was not used in the production process. The colorfastness to artificial light could reach grade 5, the fastness to washing with detergent reached grade 3–4, the fastness to rubbing reached grade 4–5, and that to high temperature reached grade 4–5. These results can possibly promote the future use of natural dyes in the fiber produced by a spun-dyeing technique.

Cold-Pad-Batch Dyeing of Silk with Laccifer lacca Kerr. and Garcinia dulcis (Roxb.) Kurz Bark

2013 ◽  
Vol 864-867 ◽  
pp. 2152-2155
Author(s):  
Rattanaphol Mongkholrattanasit ◽  
Monthon Nakpathom ◽  
Nattaya Punrattanasin
Keyword(s):  
Tartaric Acid ◽  
Ferrous Sulfate ◽  
Natural Dyes ◽  
Fastness Properties ◽  
Color Intensity ◽  
Batch Technique ◽  
Silk Fabrics ◽  
Silk Dyeing ◽  
Different Color ◽  
Color Depth

Cold-pad-batch technique of silk dyeing fabric with two natural dyes (Laccifer lacca Kerr. And Garcinia dulcis (Roxb.) Kurz bark) using pre-mordant are performed using 3 different mordants namely, alum, tartaric acid and ferrous sulfate. The study showed that color intensity (K/S) slightly increased when the batching time increased from 1 to 24 hours. Dyed silk fabrics have different color shades depending on the types of mordant applied. Ferrous sulfate and alum was found to be the best mordants for improvements of color depth. Various fastness properties (wash, crock and light) of the dyed silk fabrics have also been investigated.

EXTRACTING FEATURES OF THE HUMAN FACE FROM RGB-D IMAGES TO PLAN FACIAL SURGERIES

2020 ◽  
Vol 32 (06) ◽  
pp. 2050042
Author(s):  
Hamed Heravi ◽  
Roghaieh Aghaeifard ◽  
Ali Rahimpour Jounghani ◽  
Afshin Ebrahimi ◽  
Masumeh Delgarmi
Keyword(s):  
Image Processing ◽  
Microsoft Kinect ◽  
Depth Information ◽  
Human Face ◽  
Depth Images ◽  
Key Points ◽  
Wide Range ◽  
The Face ◽  
Different Color ◽  
Color Depth

Biometric identification of the human face is a pervasive subject which deals with a wide range of disciplines such as image processing, computer vision, pattern recognition, artificial intelligence, and cognitive psychology. Extracting key face points for developing software and commercial devices of face surgery analysis is one of the most challenging fields in computer image and vision processing. Many studies have developed a variety of techniques to extract facial features from color and gray images. In recent years, using depth information has opened up new approaches to researchers in the field of image processing. Hence, in this study, a statistical method is proposed to extract key nose points from color-depth images (RGB-D) of the face front view. In this study, the Microsoft Kinect sensor is used to produce the face RGB-D images. To assess the capability of the proposed method, this algorithm is applied to 20 RGB-D face images from the database collected in the ICT lab of Sahand University of Technology and promising results are achieved for extracting key points of the face. The results of this study indicated that using the available information in two different color-depth bands could make key points of the face more easily accessible and bring better results and we can conclude that the proposed algorithm provided a promising outcome for extracting the positions of key points.

Perceived Glossiness: Beyond Surface Properties

2019 ◽  
Vol 2019 (1) ◽  
pp. 37-42
Author(s):  
Davit Gigilashvili ◽  
Jean-Baptiste Thomas ◽  
Marius Pedersen ◽  
Jon Yngve Hardeberg
Keyword(s):  
Surface Properties ◽  
Human Subjects ◽  
Surface Geometry ◽  
Surface Reflection ◽  
Different Color

Gloss is widely accepted as a surface- and illuminationbased property, both by definition and by means of metrology. However, mechanisms of gloss perception are yet to be fully understood. Potential cues generating gloss perception can be a product of phenomena other than surface reflection and can vary from person to person. While human observers are less likely to be capable of inverting optics, they might also fail predicting the origin of the cues. Therefore, we hypothesize that color and translucency could also impact perceived glossiness. In order to validate our hypothesis, we conducted series of psychophysical experiments asking observers to rank objects by their glossiness. The objects had the identical surface geometry and shape but different color and translucency. The experiments have demonstrated that people do not perceive objects with identical surface equally glossy. Human subjects are usually able to rank objects of identical surface by their glossiness. However, the strategy used for ranking varies across the groups of people.

Parametric Models of NIR Transmission and Reflectivity Spectra for Dyed Fabrics

2015 ◽  
Author(s):  
D. Aiken ◽  
S. Ramsey ◽  
T. Mayo ◽  
S. G. Lambrakos ◽  
J. Peak
Keyword(s):  
Parametric Models ◽  
Reflectivity Spectra ◽  
Dyed Fabrics

scholarly journals A Source of a Different Color: Exploring the Influence of Three Kinds of Science Communication on Audience Attitudes Toward Research

2019 ◽  
Vol 4 ◽  
Author(s):  
Stephanie Tom Tong ◽  
Fred Vultee ◽  
Sean Kolhoff ◽  
Allison B. Elam ◽  
Mostafa Aniss
Keyword(s):  
Science Communication ◽  
Different Color

scholarly journals Iranian kinect face database (IKFDB): a color-depth based face database collected by kinect v.2 sensor

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Seyed Muhammad Hossein Mousavi ◽  
S. Younes Mirinezhad
Keyword(s):  
Neural Network ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Depth Image ◽  
Sensor Technology ◽  
Support Vector ◽  
Expression Recognition ◽  
Face Database ◽  
Depth Data ◽  
Color Depth

AbstractThis study presents a new color-depth based face database gathered from different genders and age ranges from Iranian subjects. Using suitable databases, it is possible to validate and assess available methods in different research fields. This database has application in different fields such as face recognition, age estimation and Facial Expression Recognition and Facial Micro Expressions Recognition. Image databases based on their size and resolution are mostly large. Color images usually consist of three channels namely Red, Green and Blue. But in the last decade, another aspect of image type has emerged, named “depth image”. Depth images are used in calculating range and distance between objects and the sensor. Depending on the depth sensor technology, it is possible to acquire range data differently. Kinect sensor version 2 is capable of acquiring color and depth data simultaneously. Facial expression recognition is an important field in image processing, which has multiple uses from animation to psychology. Currently, there is a few numbers of color-depth (RGB-D) facial micro expressions recognition databases existing. With adding depth data to color data, the accuracy of final recognition will be increased. Due to the shortage of color-depth based facial expression databases and some weakness in available ones, a new and almost perfect RGB-D face database is presented in this paper, covering Middle-Eastern face type. In the validation section, the database will be compared with some famous benchmark face databases. For evaluation, Histogram Oriented Gradients features are extracted, and classification algorithms such as Support Vector Machine, Multi-Layer Neural Network and a deep learning method, called Convolutional Neural Network or are employed. The results are so promising.

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