Fabric weft inclination detection method based on image analysis

Abstract

The invention provides a fabric weft inclination detection method based on image analysis, and belongs to the field of fabric detection. Fabric weft inclination can be easily caused so as to influence the quality of the finished product of fabric as the tension is uneven in the fabric after-treatment technical process such as washing, bleaching and dyeing, so finding a way of automatically detecting the welt inclination in the after-treatment technical process is one of the most difficult problems in dire need of solution in the textile industry; moreover, the photoelectric detection method for weft inclination has the shortcomings of generating dead angle in distinguishing during detecting and bringing low precision in detecting, and is also limited by the category of the fabrics, and cannot be applied to thick fabric or the fabric with inclined textures. Therefore, the fabric weft inclined detection method based on image analysis is provided. The fabric weft inclination detection method comprises the steps of: acquiring the image of a moving fabric by a linear array industrial camera; converting the image of the fabric into the frequency domain by the Fourier transform; carrying out peak-point filter on a magnitude spectrum chart; and finally determining the angle of a weft yarn system, so as to finish the automatic detection of the weft inclination. By adopting the fabric weft inclination detection method provided by the invention, the fabric weft inclination can be automatically detected, so that the quality of the finished product of a textile can be improved.

Description

technical field [0001] The invention relates to a fabric weft skew detection method based on image analysis, which belongs to the field of novel textile detection, and specifically relates to moving image collection, processing and time-frequency conversion technology. Background technique [0002] A new textile inspection field based on image analysis-based fabric weft skew detection method. In the process of fabric finishing, such as washing, bleaching and dyeing, due to uneven tension, it is easy to cause weft deformation of the fabric, which is often called weft skew, which directly affects the quality of the finished fabric. With the improvement of people's requirements for the quality of textiles, the weft skew index of fabrics has been paid more and more attention. How to realize the automatic detection of weft skew in the finishing process has become one of the problems that the textile industry needs to solve urgently. Traditional photoelectric detection has the di...

AI Technical Summary

Problems solved by technology

Traditional photoelectric detection has the disadvantages of detection and identification dead angle, low detection accuracy, etc., and is also limited by the type of fabric, so it cannot be applied to thicker fabrics or twill fabrics, etc.

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