Rotation correction method of thread image based on machine vision

2021 ◽  
Author(s):  
Kui Li ◽  
Manlong Chen ◽  
Lizhi Yan ◽  
Jie Wang
Keyword(s):  
Machine Vision ◽  
Correction Method

A Research on the Correction Method of Two-Dimensional Bar Code Distortion on Free Radius Cylindrical Surface

2014 ◽  
Vol 703 ◽  
pp. 177-181
Author(s):  
Cui Yan Wang ◽  
Wei Wang
Keyword(s):  
Machine Vision ◽  
Cylindrical Surface ◽  
Correction Method ◽  
Recognition Problem ◽  
Perspective Projection ◽  
Estimating Function ◽  
Two Dimensional ◽  
Image Information ◽  
Bar Code ◽  
Space Geometry

In order to solve the recognition problem caused by the distortion of two-dimensional bar code printed directly on the cylindrical units, a correction method has been put forward based on the combination of the information of space geometry calibrated in the camera and that of the image. Firstly, we should obtain the fixed parameters relating to the machine vision and then analyze how the two-dimensional bar code distorts on the cylindrical surface to find the correction method reversely. Since the cylindrical units vary from each other, it would be difficult to calibrate the radius of the units. Only by analyzing the perspective projection of the edge of the two-dimensional bar code on cylindrical surface and then founding the estimating function of radius can the parameters of radius be obtained from the image information. At last, the rationality of the algorithm is proved by experiments

A distortion-correction method for workshop machine vision measurement system

2008 ◽  
Author(s):  
Ruwen Chen ◽  
Ren Huang ◽  
Zhisheng Zhang ◽  
Jinfei Shi ◽  
Zixin Chen
Keyword(s):  
Machine Vision ◽  
Measurement System ◽  
Correction Method ◽  
Distortion Correction ◽  
Vision Measurement

scholarly journals A distortion image correction method based on machine vision

2020 ◽  
Vol 1453 ◽  
pp. 012136
Author(s):  
Guangxing Tan ◽  
Ying Ding ◽  
Dandan Fu ◽  
Yuchen Wang
Keyword(s):  
Machine Vision ◽  
Correction Method ◽  
Image Correction

Machine Vision

2009 ◽  
Author(s):  
Wesley E. Snyder ◽  
Hairong Qi
Keyword(s):  
Machine Vision

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

Ortho-k lenses fitting in patients with “non-typical” corneas

The Eye ◽  
2020 ◽  
Vol 22 (129) ◽  
pp. 22-29
Author(s):  
Svetlana Kravchuk ◽  
Olga Zhabina
Keyword(s):  
Correction Method ◽  
Diameter Ratio ◽  
Corneal Curvature ◽  
Individual Approach ◽  
Fitting In ◽  
Corneal Diameter ◽  
Clinical Cases

We described two clinical cases of ortho-k lenses fitting in patients with “non-typical” corneal curvature/diameter ratio. The main goal was to acknowledge effective and safe use of this myopia correction method in patients with corneal diameter greater than 11 mm. Individual approach to each patient is the key to a successful and safe ortho-k lenses fitting.

Machine Vision, Let's Go into the Street

1997 ◽  
Vol 117 (10) ◽  
pp. 1339-1344
Author(s):  
Katsuhiko Sakaue ◽  
Hiroyasu Koshimizu
Keyword(s):  
Machine Vision

Machine Vision Technologies to Connect with Humans

2005 ◽  
Vol 125 (11) ◽  
pp. 692-695
Author(s):  
Kazunori UMEDA ◽  
Yoshimitsu AOKI
Keyword(s):  
Machine Vision
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