Image Processing and Analysis of Textile Fibers by Virtual Random Walk

Zghidi, Hafed; Walczak, Maksym; Błachowicz, Tomasz; Domino, Krzysztof; Ehrmann, Andrea

doi:10.15439/2015f40

Cited by 9 publications

(3 citation statements)

References 10 publications

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“…The proposed method is based on the observation that one may expect some fractal patterns on the recurrence plots because of the non-linear dynamic of the system from which data and then recurrence plots are obtained. To analyze such black and white images that may have some fractal patterns, one can apply the random walk and Hurst exponent approach [31]. There, one would simulate the random walker allowed in each step to move left, right, up, and down but only on black pixels (given the white pixel, the walker stays where it is).…”

Section: Resultsmentioning

confidence: 99%

Statistical method for analysis of interactions between chosen protein and chondroitin sulfate in an aqueous environment

Weber¹,

Bełdowski²,

Gadomski³

et al. 2022

Preprint

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We present the statistical method to study the interaction between a chosen protein and another molecule (e.g., both being components of lubricin found in synovial fluid) in a water environment. The research is performed on the example of univariate time series of chosen features of the dynamics of mucin, which interact with chondroitin sulfate (4 and 6) in four different saline solutions. Our statistical approach is based on recurrence methods to analyze chosen features of molecular dynamics. Such recurrence methods are usually applied to reconstruct the evolution of a molecular system in its reduced phase space, where the most important variables in the process are taken into account. In detail, the analyzed time-series are spitted onto sub-series of records that are expected to carry meaningful information about

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Section: Resultsmentioning

confidence: 99%

Statistical method for analysis of interactions between chosen protein and chondroitin sulfate in an aqueous environment

Weber¹,

Bełdowski²,

Gadomski³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…[7][8][9] Berdasarkan hasil dari beberapa penelitian, teknik pengolahan citra dapat digunakan dan diterapkan pada berbagai penelitian di bidang tekstil. [10][11][12][13][14][15][16][17][18][19][20][21][22] Penerapan pengolahan citra telah dilakukan pada berbagai penelitian di bidang evaluasi kain, seperti analisis pengolahan citra untuk menganalisis penampang melintang benang pada struktur tenun anyaman polos, 10 pengembangan sebuah metode identifikasi tekstil dengan menggunakan pengolah citra, 17 analisis pilling pada permukaan kain berbasis teknik pengolahan citra, 18 serta pengembangan metode baru pengukur kelangsaian kain berbasis teknik pengolahan citra. [20][21] Selain itu, Kuo dkk.…”

Section: Pendahuluanunclassified

Stitch Per Inch Measurement Using Image Processing Techniques

Wijayono

Putra

2018

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Stitch per inch is defined as the one of many quality parameters which evaluated in the garment industry. The strength of the stitch will be determined by stitch per inch, both on the clothes and fabrics. Conventionally, stitch per inch determined by using a traditionaly visual method. Many researchers have been developed the image processing technology which applied into various textile fields. In this reserach, it has been developed a new method and a new software which could determine stitch per inch on fabrics using the image processing techniques. Stitch per inch measurement has been done using the box counting method (pixel) on image processing software. Stitch per inch in several fabrics (with different color and structures) has been measured, which shows that the value of the each methods are equal

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“…In our research we introduced a method based on the Hurst exponent. The Hurst exponent was used in the time series prediction / classification [4,5,6] and in the object classification [7,8,9]. To evaluate the Hurst exponent approach, we assume that the gas consumption time series are modelled by the stochastic process that is discussed below.…”

Section: Introductionmentioning

confidence: 99%

Classification of LPG clients using the Hurst exponent and the correlation coefficient

Domino¹,

Głomb²,

Łaskarzewski³

2015

Theor. Appl. Inform.

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In this paper we present the analysis of the gas usage for different types of buildings. First, we introduce the classical theory of building heating. This allows the establishment of theoretical relations between gas consumption time series and the outside air temperature for different types of buildings, residential and industrial. These relations imply different auto-correlations of gas usage time series as well as different cross-correlations between gas consumption and temperature time series for different types of buildings. Therefore, the autocorrelation and the cross-correlation were used to classify the buildings into three classes: housing, housing with high thermal capacity, and industry. The Hurst exponent was calculated using the global DFA to investigate auto-correlation, while the Kendall's τ rank coefficient was calculated to investigate cross-correlation.

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Image Processing and Analysis of Textile Fibers by Virtual Random Walk

Cited by 9 publications

References 10 publications

Statistical method for analysis of interactions between chosen protein and chondroitin sulfate in an aqueous environment

Statistical method for analysis of interactions between chosen protein and chondroitin sulfate in an aqueous environment

Stitch Per Inch Measurement Using Image Processing Techniques

Classification of LPG clients using the Hurst exponent and the correlation coefficient

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