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Coordinate error measurement method of an image acquisition device of a visual inspection system

An image acquisition device and coordinate error technology, applied in the direction of measuring devices, instruments, etc., can solve problems such as splicing overlap, splicing effect influence, position error, etc.

Active Publication Date: 2016-01-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the current image stitching system, when stitching high-precision images with large objects with repeated texture features, the stitching positions are prone to overlap, which has a great impact on the final stitching effect
The position error of the original image acquisition is an important reason for the overlapping of stitching
During the original image acquisition process, the detected object will be translated relative to the camera lens to obtain multiple sub-images. When the coordinate system where the detected object is placed on the platform for translation does not coincide with the camera system coordinate system, and there is an angle, it will be detected. When the object moves to a certain position, the sub-image position coordinate value collected will deviate from the camera system position coordinate value, resulting in overlap of image stitching

Method used

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  • Coordinate error measurement method of an image acquisition device of a visual inspection system

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Experimental program
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Embodiment 1

[0025] A method for measuring the coordinate error of an image acquisition device of a visual inspection system. First, a disc grid calibration sheet is prepared, and a plurality of calibration dots with clear edges are set on the disc grid calibration sheet;

[0026] Then, put the disc grid calibration piece on the platform of the measured object, and the platform of the measured object drives the disc grid calibration piece to move an appropriate distance in the direction of the X' axis of the measured object placement platform, and take images PX1 and PX1 before and after the movement. PX2, the center coordinates of each calibration point are obtained through image processing methods, and the average value of the angles between multiple vectors and the X-axis obtained by the difference between the center coordinates of the corresponding calibration points is the distance between the X' axis of the platform where the measured object is placed and the X-axis of the camera. hor...

Embodiment 2

[0104] The difference between embodiment 2 and embodiment 1 is: step S4 in the step is omitted, and after completing step S3, directly carry out step S5, wherein in step S7, it is replaced by:

[0105] S71: Calculate the difference between the sub-pixel center coordinates of the calibration dots corresponding to the PX4 and PX2 images to obtain n vectors r xi =(x 4i -x 2i ,y 4i -y 2i ), i=1,2,....,n, take the angle β between n vectors and the Y axis of the camera i , i=1,2,....,n, calculate the average value β of the included angle, and get the included angle β between the Y’ axis of the platform and the Y axis of the camera.

[0106] Embodiment 2 concrete steps are:

[0107] S1: Make a disc grid calibration sheet, set a number of non-overlapping calibration dots on the disc grid calibration sheet, the calibration dots and the disc grid calibration sheet have a clear boundary, set the calibration dots to m rows, m columns, and calibrate The number of dots is n=m×m; m=5-3...

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Abstract

The invention discloses a method for measuring the coordinate error of an image acquisition device of a visual inspection system. The method is: formulate a disc grid calibration sheet, and set multiple calibration dots on the calibration sheet; place the calibration sheet on the platform where the measured object is placed to take an image PX1, and move an appropriate distance to the X' axis direction of the measured object placement platform to take an image PX2 , the multiple vectors obtained by the difference between the center coordinates of the corresponding calibration points in the PX2 and PX1 images, the average value of the angle between the obtained vectors and the X-axis of the camera is the angle between the X' axis of the platform where the measured object is placed and the X-axis of the camera; press the same Method, the platform of the measured object moves an appropriate distance in the direction of the Y' axis, shoots PX3 and PX4 respectively, and calculates the angle between the Y' axis of the platform where the measured object is placed and the Y axis of the camera. The angle θ between the X' axis and the X axis and the angle β between the Y' axis and the Y axis obtained in the present invention are coordinate errors of the image acquisition device, which provide correction parameters for image splicing and improve image splicing quality.

Description

technical field [0001] The invention belongs to the field of automatic detection, and specifically discloses a coordinate error measurement method of an image acquisition device of a visual detection system. Background technique [0002] Vision inspection system is an important part of modern automation technology. It is an important application in visual inspection to carry out static inspection on the object to be inspected by means of images. When it is necessary to perform high-precision detection on the detected object, it is usually necessary to take high-precision images. However, due to the current technical limitations of the camera used to take pictures, it is impossible to obtain a complete high-precision image of some detected objects in one shot. When it is necessary to collect images of larger objects, it is necessary to collect and shoot multiple different partial images, and then perform image stitching. In the current image stitching system, when stitching...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C25/00
Inventor 刘霖陈伟唐雪松倪光明罗颖宋昀岑刘娟秀杨先明陈镇龙
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA