Artificial board surface defect detection method

Abstract

The invention discloses an artificial board surface defect detection method. The method comprises the following steps of 1) continuously scanning the surface of the artificial board by using a plurality of high-definition scanners, storing an image obtained by scanning in a computer connected with the high-definition scanner, sequentially arranging the high-definition scanners in the width direction of the artificial board, setting scanning areas of the high-definition scanners to be square areas with fixed sizes, covering the width area of the artificial board in the scanning area after all square areas are overlapped and enabling the adjacent square areas to be partially overlapped, 2) defining a plurality of obtained position relations of the scanning images on a computer through a setcoordinate system, 3) performing defect processing and statistics of each image obtained by scanning, and 4) enabling the computer to output the type and the position of the defect in each scanning image. According to the defect detection method, the situations that defect detection is omitted, and small defects cannot be detected can be avoided, and the integrity and the accuracy of defect detection are improved.

Description

technical field [0001] The invention relates to the technical field of wood-based panel manufacturing, in particular to a method for detecting surface defects of a wood-based panel. Background technique [0002] Wood-based panels have good structure, convenient construction, low expansion and shrinkage, stable dimensions, uniform material than sawn timber, and are not easy to deform and crack. They are widely used in architectural decoration and furniture industries. In the manufacturing process of wood-based panels, it is necessary to detect the defects on its surface, and classify the wood-based panels according to the defects. The detection of early surface defects is realized by manual detection. The detection efficiency of this detection method is low, labor High intensity, strong subjectivity, poor detection effect. At present, with the development of science and technology, most of the detection of wood-based panel surface defects adopts automatic detection methods, ...

AI Technical Summary

Problems solved by technology

In the manufacturing process of wood-based panels, it is necessary to detect the defects on its surface, and classify the wood-based panels according to the defects. The detection of early surface defects is realized by manual detection. The detection efficiency of this detection method is low, labor High intensity, strong subjectivity, poor detection effect

At present, with the development of science and technology, most of the detection of wood-based panel surface defects adopts automatic detection methods, and image acquisition equipment is used to collect and analyze the surface images of wood-based panels. Small defects cannot be detected, which affects the accuracy of plate defect detection

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