Quick three-dimensional reconstructing method applied for detecting fabric defect

Abstract

The present invention belongs to the field of image processing and mode recognizing, and relates to a quick three-dimensional reconstructing method applied for detecting fabric defect. The method comprises a BCCSL (Binocular Camera Color SstuctureLight) method which is used for obtaining the three-dimensional coordinate of the fabric ''framework'' and is provided by the present invention and an SFTS (Shape From Two Shading) that is used for the ''detail'' information of the fabric and is provided by the invention. The fabric defect three-dimensional reconstructing method designed by the invention can effectively settle the precision and speed of three-dimensional reconstructing, satisfy the requirement of fabric on-line detection, make preparation for the subsequent fabric defect three-dimensional recognition and increase the quality and grade of Chinese textile.

Description

technical field [0001] The invention relates to a fast three-dimensional reconstruction method for fabric defect detection, more specifically, the present invention relates to a fast three-dimensional reconstruction method that can be used for three-dimensional defect detection in a fabric production line. Background technique [0002] The textile industry is a traditional pillar industry of my country's national economy and an important livelihood industry. It is also an industry with obvious international competitive advantages. It plays an important role in prospering the market, expanding exports, creating jobs, increasing farmers' income, and promoting urbanization. To speed up the revitalization of the textile industry, we must focus on independent innovation, technological transformation, elimination of backwardness, and optimization of layout, promote structural adjustment and industrial upgrading, and promote the transformation of my country's textile industry from l...

AI Technical Summary

Problems solved by technology

[0005] (1) It is difficult to solve the image interference caused by "cloth surface wrinkles"

The cloth running (cloth rolling) roller is driven actively, and the cloth feeding is passive. Although there is a certain tension on the cloth surface in the detection area, the tension fluctuates during the cloth rolling process. If the tension is too large or too small, the cloth in the detection area will There are convex and concave wrinkles on the surface, and the wrinkles are imaged as shadows in the two-dimensional image, which are easily mistaken for defects

[0006] (2) It is difficult to solve the image interference caused by "changes in ambient light and background light"

When the ambient light or background light of the light box changes, or the background light has uneven light due to aging and other reasons, it will cause grayscale changes in the two-dimensional image. change distinguish

[0007] (3) It is difficult to solve the image interference caused by "flying catkins"

[0008] (4) At present, fabric defects can only be applied to the detection of plain fabric defects, and the detection of complex background colored fabrics needs further research

However, the existing 3D reconstruction methods generally need to project a series of light information to the measured object, and require the measured object to be in a static state during the light projection process, which obviously cannot meet the needs of fabric online defect detection. Therefore, the existing 3D reconstruction methods Difficult to apply to the field of online visual inspection

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