Cooperative measurement method of multi-FOV for machine vision

2012 ◽  
Vol 20 (12) ◽  
pp. 2821-2829 ◽  
Author(s):  
何博侠 HE Bo-xia ◽  
何勇 HE Yong ◽  
卜雄洙 BU Xiong-zhu ◽  
商飞 SHANG Fei
Keyword(s):  
Machine Vision ◽  
Measurement Method

Block Thickness Measurement of Using the Structured Light Vision

2018 ◽  
Vol 33 (01) ◽  
pp. 1955001 ◽  
Author(s):  
Fenghui Lian ◽  
Qingchang Tan ◽  
Siyuan Liu
Keyword(s):  
Machine Vision ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Thickness Measurement ◽  
Base Plane ◽  
Vision Measurement ◽  
Measurement Results ◽  
Measurement Equations ◽  
Structured Light Vision ◽  
Measuring Base

A method for measuring block thicknesses is proposed by the machine vision measurement. Equations of the measuring base plane and the light plane are formed by calibration. Then, the equation of the light strip image, that is, the image of the intersection between the base plane and light one, is established by the projection relation. Equation of the image of the light strip on the measured plane can be determined by the fitting. Since the light strip on the measuring base plane is parallel to one on the measured plane, the thickness of the measuring block is measured by using the two equations. The experiment evaluates the measurement accuracy of the measurement method and analyzes the influence of some factors on the measurement results.

Study on the Measuring and Positioning of the Rim Valve Hole Based on Machine Vision

2014 ◽  
Vol 711 ◽  
pp. 333-337 ◽  
Author(s):  
Fang Wang ◽  
Chao Kun Ma ◽  
Shan Qiang Dai ◽  
Chang Chun Li
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Measurement Method ◽  
Ccd Camera ◽  
Servo Motor ◽  
Processing Characteristic ◽  
Linear Ccd ◽  
Hole Position ◽  
And Control

The author has designed a visual workbench to realize that the rim can rotate with the workbench. Meanwhile, the linear CCD camera records the rim’s circumference. The paper has explored the measurement method of getting the rim valve hole position using machine vision. The system can calculate the position of rim-hole and control the servo motor by image processing, characteristic recognizing and measuring to locate the position of wheel-hole automatically. And the paper has verified the accuracy of the method by experiments.

Accurate measurement method for tube’s endpoints based on machine vision

2016 ◽  
Vol 30 (1) ◽  
pp. 152-163 ◽  
Author(s):  
Shaoli Liu ◽  
Peng Jin ◽  
Jianhua Liu ◽  
Xiao Wang ◽  
Peng Sun
Keyword(s):  
Machine Vision ◽  
Measurement Method

Research on the on-line dimensional accuracy measurement method of conical spun workpieces based on machine vision technology

Measurement ◽  
2019 ◽  
Vol 148 ◽  
pp. 106881 ◽  
Author(s):  
Gangfeng Xiao ◽  
Yongting Li ◽  
Qinxiang Xia ◽  
Xiuquan Cheng ◽  
Weiping Chen
Keyword(s):  
Machine Vision ◽  
Measurement Method ◽  
Dimensional Accuracy ◽  
Accuracy Measurement ◽  
On Line

A Direct Measurement Method of Yarn Evenness Based on Machine Vision

2015 ◽  
Vol 10 (4) ◽  
pp. 155892501501000 ◽  
Author(s):  
Junjuan Li ◽  
Baoqi Zuo ◽  
Chen Wang ◽  
Wenxiao Tu
Keyword(s):  
Machine Vision ◽  
Direct Measurement ◽  
Coefficient Of Variation ◽  
Measurement Method ◽  
Main Body ◽  
Quality Grade ◽  
Yarn Count ◽  
Image Acquisition System ◽  
Direct Measurement Method ◽  
Morphological Opening

In this paper, a new yarn evenness measurement method based on machine vision is introduced, which is a direct measurement process, as opposed to other methods. Two types of yarns (i.e., same yarn count but different quality grade and same quality grade but different yarn count) are measured to determine the coefficient of variation unevenness, which can be compared with the results of USTER ME100. The yarn images are continuously captured via an image acquisition system. To determine the main body of the yarn accurately, the yarn images are processed sequentially by a threshold segmentation and morphological opening operation. Next, the coefficient of variation (CV value) of the diameter is calculated to characterize the yarn evenness. Different image processing methods are used and compared to obtain a suitable method for use in the experiment. A more accurate, more efficient, and faster measurement system will meet requirements of the manufacturing of yarn; the suitable performance of the proposed method is illustrated using experimental results.

A new optical flat surface measurement method based on machine vision and deflectometry

2016 ◽  
Author(s):  
Kewei E. ◽  
Dahai Li ◽  
Lijie Yang ◽  
Guangrao Guo ◽  
Mengyang Li ◽  
...  
Keyword(s):  
Machine Vision ◽  
Measurement Method ◽  
Flat Surface ◽  
Surface Measurement

Rapid Glass Refractive Index Measurement Method Based on Machine Vision

2017 ◽  
Vol 46 (11) ◽  
pp. 1112006
Author(s):  
李延风 LI Yan-feng ◽  
李修宇 LI Xiu-yu ◽  
杨柳 YANG liu
Keyword(s):  
Refractive Index ◽  
Machine Vision ◽  
Measurement Method ◽  
Refractive Index Measurement ◽  
Index Measurement

Dot Area Coverage Percentage Measurement Method for Plate Microscopic Image Based on Color Segmentation

2014 ◽  
Vol 536-537 ◽  
pp. 100-104
Author(s):  
Ju Hua Liu ◽  
Yao Hua Yi ◽  
Cong Li
Keyword(s):  
Machine Vision ◽  
Measurement Method ◽  
Detection Method ◽  
Measurement Precision ◽  
Area Coverage ◽  
Color Segmentation ◽  
Microscopic Image ◽  
Quality Detection ◽  
High Measurement ◽  
Plate Quality

On the basis of analysis the plate quality detection method in accordance with machine vision, Innovative dot area coverage percentage measurement method for plate microscopic image based on color segmentation was proposed in this paper. Plate microscopic image was transformed from RGB to HSI model. Then the plate microscopic image was segmented according to the saturation and the hue information. It was proved by experiments that the dot area coverage percentage measurement method based on color segmentation was provided with high measurement precision and good plate applicability.

Nondestructive measurement method for greenhouse cucumber parameters based on machine vision

2016 ◽  
Vol 9 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Guoxiang Sun ◽  
Yongbo Li ◽  
Yu Zhang ◽  
Xiaochan Wang ◽  
Man Chen ◽  
...  
Keyword(s):  
Machine Vision ◽  
Measurement Method ◽  
Nondestructive Measurement ◽  
Greenhouse Cucumber

Measurement of Electrochemical Machining Initial Gap Based on Machine Vision

2011 ◽  
Vol 230-232 ◽  
pp. 1190-1194 ◽  
Author(s):  
Min Kang ◽  
Hou Shang Li ◽  
Xiu Qing Fu
Keyword(s):  
Machine Vision ◽  
Measurement System ◽  
Measurement Method ◽  
Electrochemical Machining ◽  
Image Data ◽  
Ccd Camera ◽  
Camera System ◽  
Physical Size ◽  
System Calibration ◽  
Data Acquisition Card

In order to measure the initial gap between the workpiece and tool-cathode in electrochemical machining, the measurement method based on machine vision was studied in this paper. First, the measurement system based on machine vision was established. The hardware of the system consisted of CCD camera, image data acquisition card, light source and computer. The software of the system was developed by VC++6.0. Then, the original digital image of electrochemical machining initial gap collected by the CCD camera system was changed into the contour of image through graying, bivalency, edge detection and segmentation. Through system calibration, the physical size of the gap was calculated. Finally, relative experiments were carried out. The experimental results validated the feasibility of the method which measures the electrochemical machining initial gap based on machine vision.

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