Visual identification-based precise shaft size measurement method, apparatus and system

Abstract

The invention particularly discloses a visual identification-based precise shaft size measurement method, apparatus and system. The method comprises the steps of establishing a mapping relationship between a pixel size and an actual spatial geometric size of a to-be-measured precise shaft; obtaining multiple to-be-spliced precise shaft images; building a conversion model between a reference imageand the to-be-spliced images to perform conversion; based on CS and NSST algorithm combination, performing splicing on the converted to-be-spliced images, and performing fusion to form a whole image of the to-be-measured precise shaft; and for the fused whole image, performing pixel level edge tracking and preliminary locating by using a multilevel filtered interested edge detection method firstly, then based on Sobel operator and least square curve fitting combination, obtaining sub-pixel-precision edges, and according to the detected edges and the mapping relationship, calculating the spatial geometric size of the to-be-measured precise shaft. According to the method, the apparatus and the system, the image splicing data processing amount is effectively reduced; the detection efficiencyis improved; and real-time online detection can be performed.

Description

technical field [0001] The invention relates to the technical field of parts detection based on machine vision, in particular to a precision shaft dimension measurement method, device and system based on vision recognition. Background technique [0002] The research on parts detection based on machine vision began to rise in the 1990s, and now it has gradually entered various industrial fields, and the measurement methods and methods have also been developed rapidly. Machine vision is to use machines instead of human eyes to make measurements and judgments. Through the image capture device CMOS or CCD, the captured target is converted into an image signal, which is sent to a dedicated image processing system. According to pixel distribution, brightness, color and other information, it is transformed into Digitized signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment action...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a precision shaft size measurement method, device and system based on visual recognition, so as to solve the technical problem that the measurement efficiency of the slender shaft measurement scheme based on machine vision is low and cannot meet the real-time requirements in the prior art

Images