RGBPSP (red green blue phase shift profilometry) three-dimensional color reconstruction method applied to online detection for fabric defects

Abstract

The invention belongs to the field of image processing and pattern recognition, and relates to an RGBPSP (red green blue phase shift profilometry) three-dimensional color reconstruction method applied to online detection for fabric defects. In the RGBPSP three-dimensional color reconstruction method, a color camera and a color light source projecting apparatus are adopted, the color light source projecting apparatus does not need to project a series of light information to a measured object but always projects fixed light information to the measured fabric, accurate phase information of each measurement point of a measured scene is obtained by the aid of a phase correcting method, and accordingly three-dimensional coordinate information of the measured scene is obtained. The RGBPSP three-dimensional color reconstruction method has the advantages that the proper three-dimensional reconstruction precision and the proper three-dimensional reconstruction speed can be effectively realized, requirements on online detection for the fabric are met, follow-up three-dimensional fabric defect identification is prepared, and the quality and the grade of Chinese fabrics are improved.

Description

technical field [0001] The invention relates to a color three-dimensional reconstruction method for online detection of fabric defects, more specifically, the invention relates to a fast three-dimensional reconstruction method that can be used for color 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 indus...

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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