High-precision rapid graph detection and identification method

A technology of image detection and recognition methods, applied in image enhancement, image analysis, image data processing, etc.

Pending Publication Date: 2021-05-18
南京挥戈智能科技有限公司
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problems existing in traditional manual measurement or machine vision detection and recognition, and propose a high-precision fast pattern detection and recognition method, which is a method of enhancing preprocessing, edge detection, key point selection and The method of fitting, attribute parameter calculation and graphic reconstruction is suitable for workpiece graphic detection, recognition and reconstruction in the field of intelligent manufacturing

Method used

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  • High-precision rapid graph detection and identification method
  • High-precision rapid graph detection and identification method

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Embodiment Construction

[0137] combine figure 1 , The high-precision and fast pattern detection and recognition method is divided into seven steps: image capture, image enhancement preprocessing, edge detection, key point selection, curve fitting, attribute parameter calculation, and pattern reconstruction.

[0138] 1. The camera uses an industrial CCD camera. Compared with a CMOS camera, a CCD camera can obtain images with less noise and higher image quality.

[0139] Fix the camera to the specified position on the workbench, perform camera calibration, obtain data such as the distortion parameters of the camera and the external rotation matrix, calculate the parameter matrix of the camera, and then shoot the workpiece to obtain a uniform 1024×768 pixel image of the workpiece, such as Figure 5 .

[0140] 2. Image enhancement preprocessing

[0141] During the image acquisition process, due to the light source, shooting angle, etc., the obtained image may have insufficient brightness and unclear ed...

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Abstract

The invention discloses a high-precision rapid graph detection and identification method, which is characterized in that the high-precision rapid graph detection and identification method adopts machine vision to carry out seven steps of image shooting acquisition, image enhancement preprocessing, edge detection, key point selection, curve fitting, attribute parameter operation and graph reconstruction on a workpiece graph. The method is suitable for workpiece graph detection, recognition and reconstruction in the field of intelligent manufacturing.

Description

technical field [0001] The invention relates to the field of intelligent manufacturing, in particular to a method for preprocessing workpiece graphics, edge detection, key point selection and fitting, attribute parameter calculation, and graphics reconstruction using machine vision, which is suitable for workpiece graphics detection in the intelligent manufacturing field , recognition and reconstruction, specifically a high-precision fast pattern detection and recognition method. Background technique [0002] The invention takes how to quickly and accurately detect and identify processed workpieces as the research object, based on the workpiece image, adopts machine vision measurement technology to perform graphic measurement and recognition on it, detects whether the size of the processed workpiece is qualified, and quickly completes the industrial field measurement and detection task. [0003] The traditional methods of manual measurement and identification of workpieces a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T7/181G06T7/64G06T5/00G06T5/20
CPCG06T5/007G06T5/20G06T7/0004G06T2207/20012G06T2207/20081G06T2207/20084G06T2207/20192G06T2207/30164G06T7/13G06T7/136G06T7/181G06T7/64
Inventor 叶彦斐周伯荣方力黄勤凯姚杰
Owner 南京挥戈智能科技有限公司
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