This paper presents a new approach for processing images of woven fabrics to determine the warp-weft densities. This approach includes three main steps, namely; image transformation, image enhancement, and analyzing signals of the image. In the experimental process, 19 different woven fabric images were scanned at a high resolution (2400 dpi); then these images were transferred to the MATLAB program. By using the vertical and horizontal frequencies of the textile image, the FFT analyses were carried out. Consequently with 97% accuracy, the densities were predicted only by using the images instead of counting them by hand
This paper presents a novel approach to the fast detection and extraction of fabric defects from the...
This paper deals with the efficiency evaluation of selected methods for automatic assessing of weavi...
In this paper we propose an efficient image warping technique to simulate arbitrary texture images o...
This paper presents a new approach for processing images of woven fabrics to determine the warp-weft...
A method of measuring the fabric density (weft pick per cm & warp per cm) of a woven fabric has been...
Determination of fabric structure parameters is the first process in all textile factories, especial...
Image processing has become a tremendous tool for various fields of applications as well as for text...
This paper describes a vision-based system that monitors the yarn density of woven fabrics on-line. ...
A method of measuring the stitch density (course per inch and wale per inch) of a knitted fabric has...
In this study, warp elongations in a satin fabric were detected using image processing to reduce yar...
329-333In this study, an image processing approach for fabric weight measurement has been proposed a...
388-391A method to recognize fabric structures automatically based on digital image decomposition ha...
The structure parameters of woven fabric, such as density and woven pattern, are the most important ...
In this study, warp elongations in a satin fabric were detected using image processing to reduce yar...
A digital image processing approach was developed to evaluate fabric structure characteristics and t...
This paper presents a novel approach to the fast detection and extraction of fabric defects from the...
This paper deals with the efficiency evaluation of selected methods for automatic assessing of weavi...
In this paper we propose an efficient image warping technique to simulate arbitrary texture images o...
This paper presents a new approach for processing images of woven fabrics to determine the warp-weft...
A method of measuring the fabric density (weft pick per cm & warp per cm) of a woven fabric has been...
Determination of fabric structure parameters is the first process in all textile factories, especial...
Image processing has become a tremendous tool for various fields of applications as well as for text...
This paper describes a vision-based system that monitors the yarn density of woven fabrics on-line. ...
A method of measuring the stitch density (course per inch and wale per inch) of a knitted fabric has...
In this study, warp elongations in a satin fabric were detected using image processing to reduce yar...
329-333In this study, an image processing approach for fabric weight measurement has been proposed a...
388-391A method to recognize fabric structures automatically based on digital image decomposition ha...
The structure parameters of woven fabric, such as density and woven pattern, are the most important ...
In this study, warp elongations in a satin fabric were detected using image processing to reduce yar...
A digital image processing approach was developed to evaluate fabric structure characteristics and t...
This paper presents a novel approach to the fast detection and extraction of fabric defects from the...
This paper deals with the efficiency evaluation of selected methods for automatic assessing of weavi...
In this paper we propose an efficient image warping technique to simulate arbitrary texture images o...