Fabric weft inclination detection method based on image analysis

A technology of image analysis and detection method, which is applied in the field of processing and time-frequency conversion technology and motion image acquisition, and can solve the problems of detection and identification dead angle, low detection accuracy, and inapplicability to thick fabrics or twill fabrics, etc.

Inactive Publication Date: 2013-01-30
JIANGNAN UNIV
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Problems solved by technology

Traditional photoelectric detection has the disadvantages of detection and identification dead angle, low detection accu

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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  • Fabric weft inclination detection method based on image analysis
  • Fabric weft inclination detection method based on image analysis
  • Fabric weft inclination detection method based on image analysis

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Embodiment Construction

[0015] The fabric weft skew is mainly caused by the uneven tension of the yarn in the fabric during the finishing process. The weft skew of the fabric will lead to a decline in the quality of the finished textile. Therefore, there will be special weft adjustment equipment at the end of the finishing process. Complete the correction of weft skew. The weft adjustment process depends on the detection results of the weft skew angle. The weft skew detection process based on the photoelectric method has insufficient detection accuracy and is easily affected by external conditions.

[0016] The invention provides a fabric weft skew detection method based on image analysis, the detection process is more stable, the specific implementation steps are as follows figure 1 shown. An implementation example is given below, figure 2 It is the fabric surface image collected by the current craft camera, and the industry provided by the system is projection type.

[0017] right figure 2 T...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Application Information

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IPC IPC(8): G01B11/26G01N21/89
Inventor 潘如如刘基宏高卫东王鸿博朱博
Owner JIANGNAN UNIV
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