CCD (Charge Coupled Device)-based high-accuracy measuring method

A measurement method and high-precision technology, applied in the field of image processing, can solve the problems of easy fatigue, high strength, high cost, etc., and achieve the effect of high-precision measurement and high precision

Active Publication Date: 2014-01-08
爱科维申科技(天津)有限公司
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the above-mentioned deficiencies of the prior art, has proposed a high-precision measurement method based on CCD, utilizes the key technology in the step that this method p

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  • CCD (Charge Coupled Device)-based high-accuracy measuring method

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Embodiment Construction

[0021] The flow chart of the present invention is as figure 1 As shown, firstly, the internal and external parameters of the camera are calibrated, using the calibrated data to correct the distortion of the image of the measured object, and then locate the measured object, distinguish the upper and lower surface edges of the measured object and extract the sub-pixel edge of the upper surface, and then create a Template, use the shape-based template matching algorithm to accurately locate and identify the measured object, obtain the depth information of the measured object according to the point laser, constrain and convert the upper surface posture of the measured object, compare the template with the measured object and perform error analysis. The specific implementation process of the technical solution of the present invention will be described below in conjunction with the accompanying drawings.

[0022] 1. System structure design

[0023] The system structure is designed...

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Abstract

The invention belongs to the field of vision, relates to a CCD (Charge Coupled Device)-based high-accuracy measuring method, and breaks through the limitation that the conventional CCD-based size measuring technology is mostly applied to measurement of small-sized objects. An algorithm comprises the following steps: building a camera imaging model, calibrating internal and external parameters of a camera, and correcting images according to a distortion model and internal parameter data; putting forward a method for distinguishing the edges of the upper and lower surfaces of a tested object by using neighborhood information, extracting the sub-pixel edge information of the upper surface of the tested object by using a Canny filter, building a template according to CAD (Computer Aided Design) data of a detected part, accurately locating and identifying the tested object by using a shape-based template matching algorithm, acquiring the depth information of the tested object according to a dot laser, and constraining and converting the posture of the upper surface of the tested object, wherein a profile distance is taken as the machining error measure of the tested object. The algorithm can be applied to size measurement of large-sized planar parts, and the accuracy can reach a sub-pixel grade.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a CCD-based high-precision measuring method, which can provide high-precision and high-efficiency detection for mechanical parts processing. Background technique [0002] Modern industry is developing in the direction of processing automation, high speed, and precision. Enterprises have higher and higher requirements for product processing accuracy. During the machining process, various reasons such as machine tool vibration, tool wear, and tool offset will directly or indirectly affect the machining accuracy. An important way to obtain the machining accuracy of workpiece size is measurement. Measurement is a key link in the product manufacturing process and the main means to judge the quality of product production. The development of advanced manufacturing technology puts forward high-precision, high-efficiency, and good flexibility requirements for measurement, and mor...

Claims

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Application Information

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IPC IPC(8): G01B11/00
Inventor 耿磊王忠强
Owner 爱科维申科技(天津)有限公司
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