Shaft sleeve part surface defect on-line detection method based on compressed sensing

Abstract

Disclosed is a shaft sleeve part surface defect on-line detection method based on compressed sensing. Compressed sensing description of a part surface defect image is built through a machine vision and compressed sensing method, and an optical imaging and defect detection model highlighting surface defects is built; a part sample image of typical defects is collected, after denoising and necessary image preprocessing are carried out, sampling frequency adjustment and size normalization are carried out, a sample is trained and a redundant dictionary is built; a proper orthogonal basis decomposition matrix and a random observation matrix are designed, a combined orthogonal matching pursuit algorithm is selected, solution of the minimum norm l0 is converted into the problem of solving the optimal solution to reconstruct a defect image, spare representation of the image to be detected is calculated, and defect recognition is carried out on a part to be detected according to built judgment and recognition standards. An on-line detection system with the functions of feeding, positioning and adjustment, image collection, image processing, defect detection and recognition, part separation and the like is built, and rapid detection on the surface defects of the shaft sleeve part is achieved.

Description

technical field [0001] The invention relates to an online detection method for surface defects of shaft sleeve parts based on compressed sensing, and belongs to the technical field of online nondestructive detection of mechanical parts. Background technique [0002] With the gradual transfer of the global manufacturing center to my country, while the production and manufacturing capacity continues to expand, people also put forward higher and higher requirements for product quality. Product surface quality is an important part of it, and it has an important impact on the direct use or deep processing of the product. The existence of surface defects in some application fields may cause huge losses to users, and strict detection and control must be carried out. [0003] Shaft sleeve parts are mainly used for supporting, guiding and positioning. They are widely used in various machines and instruments. They are generally made of steel, cast iron, bronze or brass. During the p...

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Problems solved by technology

[0006] The purpose of the present invention is to propose an online detection method for surface defects of shaft sleeve parts based on compressed sensing, according to the problems of large amount of collection, low data utilization rate, and poor real-time performance in the detection of surface defects of existing mechanical parts.

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