Machine vision based bamboo strip defect detection method

Abstract

The invention provides a machine vision based bamboo strip defect detection method which comprises the following steps of S1, establishing a neural network structure used for bamboo strip recognitionto obtain a recognition model used for recognizing the yellow-green face of a bamboo strip; S2, collecting an original image of the bamboo strip to be detected; S3, performing normalized processing onthe original image of the bamboo strip to be detected; S4, performing feature extraction on image data after normalized processing; and S5, inputting features extracted in the step S4 into the recognition model in the step S1, judging the condition of the yellow-green face of the bamboo strip image, and performing defect detection of bamboo greenness and left blank according to a judgment resultrespectively. The invention provides the machine vision based bamboo strip defect detection method which can rapidly recognize and classify the bamboo strip. The machine vision based bamboo strip defect detection method is simple and feasible, can relatively rapidly realize effective detection of the bamboo strip under the condition of invariable illumination condition, increases the automation degree of bamboo product processing and improves the industrial production efficiency.

Description

technical field [0001] The invention relates to a method in the technical field of visual inspection, more specifically, a method for detecting defects in bamboo strips based on machine vision. Background technique [0002] China's bamboo forest covers an area of ​​more than 5 million hectares. The importance of bamboo to people's lives has a long history. The ancient poet Su Dongpo once said, "I would rather eat without meat than live without bamboo." Bamboo not only has a profound impact on people's lives , but also play a very important role in the ecological function and the development of rural economy. It is widely used in various aspects, such as: bamboo floor, bamboo door, bamboo window, bamboo daily necessities and so on. However, during the growth process, bamboo has problems such as moth-eaten holes, cracks, and mold, and after multi-layer processing procedures, a series of defects will occur, such as bamboo green, white space, and oblique cuts in the substrate p...

AI Technical Summary

Problems solved by technology

This method has fast detection efficiency and high stability, but for bamboo strips in different places and origins, the defect types will be various, and it cannot be effectively used for other types of defects such as bamboo green, oblique cut, white space, scratches, etc. detection

In the face of many different defects, targeted detection cannot be carried out, and it is difficult to promote in the processing and production of bamboo products

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