Morphometrical structural analysis of inter-thread pores in woven fabrics with the use of computer image analysis

2019 ◽  
Vol 89 (23-24) ◽  
pp. 4858-4874 ◽  
Author(s):  
Magdalena Owczarek
Keyword(s):  
Image Analysis ◽  
Digital Image Analysis ◽  
Structural Parameters ◽  
Woven Fabrics ◽  
Computer Image Analysis ◽  
Innovative Method ◽  
Fabric Structure ◽  
Structure Assessment ◽  
Twill Weave ◽  
Non Destructive

The main aim of the study is to present a new innovative method designed by the author of non-destructive, accurate and morphometrical identification of fabric structural parameters, individual inter-thread pores (ITPs) in particular. The description parameters and fabric structure assessment methodology with the use of digital image analysis with author's copyrighted MagFABRIC software were created specifically for this analysis. The ITP parameters were described in three aspects: size, shape and location in the fabric structure. The study was conducted on two groups of fabrics: plain and twill weave. The need for a bimodal analysis of the fabric structure parameters was indicated, as it allowed for the structure differences identification in the test fabrics. The analysis results were compared to the air permeability test. The developed methodology is relevant to specialized fabrics (e.g. barrier fabrics, industrial filters and any other fabric where the ITP area is an important parameter).

Effects of Bacteriophage P100 at Different Concentrations on the Structural Parameters of Listeria monocytogenes Biofilms

2018 ◽  
Vol 81 (12) ◽  
pp. 2040-2044 ◽  
Author(s):  
CRISTINA RODRÍGUEZ-MELCÓN ◽  
ROSA CAPITA ◽  
CAMINO GARCÍA-FERNÁNDEZ ◽  
CARLOS ALONSO-CALLEJA
Keyword(s):  
Image Analysis ◽  
Listeria Monocytogenes ◽  
Laser Scanning ◽  
Digital Image Analysis ◽  
Surface Coverage ◽  
Structural Parameters ◽  
Laser Scanning Microscopy ◽  
Confocal Laser ◽  
Foodborne Diseases ◽  
Average Thickness

ABSTRACT Because listeriosis is one of the deadliest foodborne diseases, controlling and eradicating Listeria monocytogenes biofilms is a serious challenge for food safety. Biofilms (24 h old) formed on polystyrene by a L. monocytogenes strain of food origin were exposed for a further 24 h to 12 different concentrations (from 100 to 1011 PFU/mL) of the bacteriophage P100 (Listex P100). The structural parameters of biofilms were studied by using confocal laser scanning microscopy and digital image analysis. The biovolume in the observation field (14,121 μm2) of control (untreated) biofilms was 237,333.1 ± 2,692.6 μm3. The biomass of treated biofilms ranged from 164.7 ± 89.0 μm3 (biofilms exposed to 1010 PFU/mL) to 231,170.5 ± 15,142.0 μm3 (100 PFU/mL). The lowest biomass was achieved after treatment with 108 PFU/mL, with no further decrease in biovolume when higher phage concentrations were used. A strong (P < 0.001) correlation was found between phage concentration (log units) and biovolume (−0.965), surface coverage (−0.939), roughness (0.976), maximum thickness (−0.853), and average thickness (−0.965). Findings from this research suggest that bacteriophage P100 at concentrations equal to or greater than 8 log PFU/mL successfully removes L. monocytogenes biofilms from polystyrene surfaces.

scholarly journals Effect of Weaving Structures on the Water Wicking–Evaporating Behavior of Woven Fabrics

Polymers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 422
Author(s):  
Min Lei ◽  
Yuling Li ◽  
Yanping Liu ◽  
Yanxue Ma ◽  
Longdi Cheng ◽  
...  
Keyword(s):  
Phase I ◽  
Phase Ii ◽  
Moisture Transfer ◽  
Structural Parameters ◽  
High Water ◽  
Woven Fabrics ◽  
Water Transfer ◽  
Multivariate Statistical ◽  
Fabric Structure ◽  
Vertical Wicking

Water transfer through porous textiles consists of two sequential processes: synchronous wicking–evaporating and evaporating alone. In this work we set out to identify the main structural parameters affecting the water transfer process of cotton fabrics. Eight woven fabrics with different floats were produced. The fabrics were evaluated on a specially designed instrument capable of measuring the water loss through a vertical wicking process. Each test took 120 min, and two phases were defined: Phase I for the first 10 min and Phase II for the last 110 min according to wicking behavior transition. Principal components and multivariate statistical methods were utilized to analyze the data collected. The results showed that Phase I dominated the whole wicking–evaporating process, and the moisture transfer speed in this phase varied with fabric structure, whereas the moisture transfer speeds in Phase II were similar and constant regardless of fabric structure. In addition, fabric with more floats has high water transfer speed in Phase I due to its loosened structure with more macropores.

scholarly journals Wheat Quality Estimation Using Vision-Based Digital Image Analysis

2021 ◽  
Author(s):  
Edina Csákvári ◽  
Melinda Halassy ◽  
Attila Enyedi ◽  
Ferenc Gyulai ◽  
József Berke
Keyword(s):  
Image Analysis ◽  
Real Time ◽  
Digital Image ◽  
Aboveground Biomass ◽  
Digital Image Analysis ◽  
Grain Quality ◽  
Quality Parameters ◽  
Wheat Quality ◽  
Study Laboratory ◽  
Non Destructive

Abstract BackgroundEinkorn wheat (Triticum monococcum L. subs. monococcum) plays an increasingly important role in agriculture, promoted by organic farming. Although the number of comparative studies about modern and ancient types of wheats are increasing, there are still some knowledge gaps. The aim of the present study was to compare ancient, traditional and modern wheats using novel methods, including field study, laboratory stress experiment and vision-based digital image analysis. The yield and grain quality parameters based on the field experiment were measured with a near-infrared optical laboratory analyser. In order to predict the aboveground biomass production under nutrient deficiency and drought stress, a controlled experiment was set up in a growth chamber. Processing was performed by image segmentation using the Adobe Photoshop CC 20.04.4 Camera RAW 11.2 plug-in. Digital image parameters were determined with the open source software ImageJ and expressed in pixels of projected area, perimeter, bounding rectangle and Feret’s diameter.ResultsWe presented a fast, real-time, non-destructive and low-cost method for estimation of wheat quality. Based on the results, digital area is suitable to estimate aboveground biomass. Digital area outperformed other digital variables in biomass prediction in relation to stress, but height and Feret’s diameter better correlated with yield and grain quality parameters. The developed technique is easy to use to assess the growth and health status of plants. An RGB digital camera is easy to operate and image acquisition can be done at will, meanwhile conventional laboratory instruments are relatively expensive, very expert-intensive and time consuming.ConclusionOur study showed that digital image analysis could be a viable alternate means for the real-time estimation of aboveground biomass and for predicting yield and grain quality parameters. We suggest that the combination of various vision-based methods could improve the estimation of wheat performance in a non-destructive and real-time way. The results also demonstrated that modern wheats had better yield production and grain quality compared to einkorn wheats, but the latter were not far behind, thus the cultivation of various species could provide a diverse and sustainable agriculture.

scholarly journals The use of vision techniques for the evaluation of selected quality parameters of maize grain during storage

2019 ◽  
Vol 132 ◽  
pp. 01026 ◽  
Author(s):  
Katarzyna Szwedziak
Keyword(s):  
Image Analysis ◽  
Computer Image ◽  
Rapid Assessment ◽  
Quality Parameters ◽  
The State ◽  
Computer Application ◽  
Computer Image Analysis ◽  
Innovative Method ◽  
Maize Grain ◽  
Grain Contamination

The paper presents an innovative method based on vision techniques for rapid assessment of contamination in the mass of stored maize grain. The research was carried out in a selected grain warehouse in the Opolskie Province. Maize grain was used in the studies, which was subjected to tests based on computer image analysis. To assess the state of maize grain contamination, a proprietary computer application based on the RGB model was used.

Accurate area determination of complex leaves using digital image analysis

1999 ◽  
Vol 26 (8) ◽  
pp. 767
Author(s):  
Mark A. Hunt ◽  
Stephen L. Hodson
Keyword(s):  
Image Analysis ◽  
Leaf Area ◽  
Digital Image Analysis ◽  
Analysis Method ◽  
High Complexity ◽  
Image Analysis Method ◽  
Computer Image Analysis ◽  
Resolution Method ◽  
Area Determination

A recently described computer image analysis method was modified forquantification of leaf area. These areas were compared to those estimated by alower resolution method based on planimetry. Leaves ofEucalyptus nitens (Deane & Maiden) Maiden, pinnae ofDicksonia antarctica Labill. and leaves ofAcacia dealbata Link were used for analysis, offeringsurfaces of low, intermediate and high complexity, respectively.Low-resolution planimetry was found to be a suitable method for thecalculation of leaf area of simple broadleaves. However, for surfaces ofgreater complexity, the higher resolution of image analysis gave more accurateestimates of area. Overlapping of primary pinnae in the complexA. dealbata leaf proved to be a larger source of errorthan inadequacy of resolution.

Morphometric analysis of cellular interactions with the endothelium during the development of arterial lesions using Scanning Electron Microscopy and digital image analysis

1987 ◽  
Vol 45 ◽  
pp. 918-919
Author(s):  
M.E. Rosenfeld ◽  
C. Karboski ◽  
M.F. Prescott ◽  
P. Goodwin ◽  
R. Ross
Keyword(s):  
Electron Microscopy ◽  
Image Analysis ◽  
Quantitative Data ◽  
Digital Image Analysis ◽  
Lower Cost ◽  
Matched Control ◽  
Digital Analysis ◽  
Cellular Interactions ◽  
Arterial Lesions ◽  
Scanning Electron

Previous research documenting the chronology of the cellular interactions that occur on or below the surface of the endothelium during the initiation and progression of arterial lesions, primarily consisted of descriptive studies. The recent development of lower cost image analysis hardware and software has facilitated the collection of high resolution quantitative data from microscopic images. In this report we present preliminary quantitative data on the sequence of cellular interactions that occur on the endothelium during the initiation of atherosclerosis or vasculitis utilizing digital analysis of images obtained directly from the scanning electron microscope. Segments of both atherosclerotic and normal arteries were obtained from either diet-induced or endogenously (WHHL) hypercholesterolemic rabbits following 1-4 months duration of hypercholesterolemia and age matched control rabbits. Vasculitis was induced in rats following placement of an endotoxin soaked thread adjacent to the adventitial surface of arteries.

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