Unlock instant, AI-driven research and patent intelligence for your innovation.

A Method of Automatic Image Calibration Based on Regression Algorithm

An automatic calibration and regression algorithm technology, applied in the field of image processing, can solve problems such as time-consuming and error-prone, and achieve high efficiency

Active Publication Date: 2022-01-07
昆山博泽智能科技有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The invention provides a method for automatically calibrating images based on a regression algorithm, which solves the problems of time-consuming and error-prone traditional methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method of Automatic Image Calibration Based on Regression Algorithm
  • A Method of Automatic Image Calibration Based on Regression Algorithm
  • A Method of Automatic Image Calibration Based on Regression Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0030] like figure 1 As shown, a method for automatic image calibration based on regression algorithm, including the following steps:

[0031] Step 1, collect some sample data.

[0032] Each sample data includes the camera height value, light source height value, and the ratio of the pixel gray value to the actual physical length; generally at least 20 sets of sample data are collected. Of course, the more sample data collected, the more accurate subsequent calculations will be.

[0033] Step 2, taking the height of the camera and the height of the light source as independent variables, and the ratio of the pixel gray value to the actual physical length as the dependent variable, construct a r...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for automatically calibrating an image based on a regression algorithm, which includes collecting several sample data, each sample data includes a camera height value, a light source height value, and a ratio value between a pixel gray value and an actual physical length; The height of the light source is used as an independent variable, and the ratio of the pixel gray value to the actual physical length is used as a dependent variable to construct a regression equation; the sample data is brought into the regression equation to solve the regression coefficient and constant term of the regression equation; when measuring, the current The height value of the camera and the height value of the light source are brought into the regression equation to obtain the ratio value ratio of the current pixel gray value to the actual physical length; the actual physical length of the object in the current image is calculated by using the ratio value ratio of the current pixel gray value to the actual physical length length. The present invention constructs a regression equation through sample data, and the ratio value of the current pixel gray value to the actual physical length can be obtained directly by using the regression equation, without searching the configuration list.

Description

technical field [0001] The invention relates to a method for automatically calibrating an image based on a regression algorithm, and belongs to the technical field of image processing. Background technique [0002] The cast object after casting needs to be taken and analyzed. After the analysis, the actual physical length of the cast object needs to be obtained according to the image. However, since the height and position of the flat-panel camera and the X-ray light source are different for each shooting, the images collected each time, each The gray value of each pixel corresponds to the actual physical length is different. Therefore, it is necessary to calibrate point by point, that is, calculate and obtain the ratio of the current pixel gray value to the actual physical length at different heights of the flat panel camera and the x-ray light source, and write the ratio into the configuration list. In actual measurement, according to the current Find the closest set of v...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/80
CPCG06T7/80
Inventor 周勇熊联军
Owner 昆山博泽智能科技有限公司