Fabric skew detection method based on image analysis

A detection method and weft skew technology, applied in the field of fabric weft skew detection, can solve the problems of complex texture patterns, inability to detect effectively, and poor detection effect, etc.

Pending Publication Date: 2019-10-29
常州弘仁智能科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the variety of fabrics and the extremely complex texture patterns, the detection effect of some special twill or sparse fabrics is not good, and the frequency domain analysis requires the weft of the fabric to be stretched straight. It cannot be effectively detected when it is wrinkled

Method used

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  • Fabric skew detection method based on image analysis
  • Fabric skew detection method based on image analysis
  • Fabric skew detection method based on image analysis

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Embodiment Construction

[0064] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0065] The present invention proposes a figure 1 A new method for weft skew detection of fabrics is shown by image analysis. Based on the principle of autocorrelation in image analysis, this method can quickly and accurately detect latitude results in real time, including the following steps:

[0066] 1. Use a CCD industrial camera to collect the fabric texture image Image, the image height is h, and the width is w, such as figure 2 shown.

[0067] 2. Intercept a part of the image Image to obtain ImageP, the image ImageP has a height of N and a width of w.

[0068] Here N can generally be selected as 1 / 8 to 1 / 2 of h, the starting coordinate of the intercepted image in the Y direction is (h-N) / 2, the ending coordinate is (h+N) / 2, the starting coordinate in the X direction is 0, and the ending coordinate is The coordinates are w-1.

[0069] 3. The image I...

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Abstract

The invention discloses a fabric skew detection method based on image analysis. The fabric skew detection method comprises the following steps: acquiring a fabric texture image Image; intercepting a part of a image to obtain an Image P; dividing the image P into n equal parts to obtain n sub-images Images1, Images2-Imagesn, and dividing the n sub-images Images1, Images2-Imagesn into n equal parts;carrying out autocorrelation operation on the sub-images Images1, Images2-Imagesn to obtain weft-wise deviations of the sub-images Images1, Images2-Imagesn; summing the latitudinal deviations to obtain a latitudinal deviation result Psum, and taking an arc tangent function of Psum / W as a latitudinal angle detection knot. By means of the method, a weft skew result can be rapidly and accurately detected in real time.

Description

technical field [0001] The invention relates to a fabric weft skew detection method, in particular to a fabric weft skew detection method based on image analysis. Background technique [0002] The weft skew and weft bend of textiles are important indicators to measure the grade of textiles and even whether they are qualified or not. During the production and processing of textiles, weft skew and weft bends will inevitably occur. Re-straighten. At present, the mainstream weft straightening device is mainly photoelectric weft straightening, but photoelectric weft straightening still has certain limitations, such as low detection accuracy, insensitive to low-speed or static fabric detection, unable to adapt to special twill or heavy fabrics and unable to detect Defects such as fabrics with large weft skew. [0003] In recent years, with the continuous improvement of automation level and the continuous development of machine vision technology, its application scope is also exp...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/40G06T5/30G06F17/14
CPCG06T7/0004G06T7/40G06T7/11G06T5/30G06F17/141G06T2207/30124
Inventor 张洋
Owner 常州弘仁智能科技有限公司
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