<i>Maize stubble row recognition and guidance line detection based on machine vision in natural illumination</i>

2017 ◽  
Author(s):  
Wanzhi Chen ◽  
Qingjie Wang ◽  
Hongwen Li ◽  
Xianliang Wang
Keyword(s):  
Machine Vision ◽  
Line Detection ◽  
Natural Illumination ◽  
Maize Stubble

DEALING WITH COLOR CHANGES CAUSED BY NATURAL ILLUMINATION IN OUTDOOR MACHINE VISION

2004 ◽  
Vol 35 (1) ◽  
pp. 19-33 ◽  
Author(s):  
J. A. MARCHANT ◽  
N. D. TILLETT ◽  
C. M. ONYANGO
Keyword(s):  
Machine Vision ◽  
Natural Illumination ◽  
Color Changes

On-Line Detection Method for Automobile Frame Side Rail Process Holes

2012 ◽  
Vol 616-618 ◽  
pp. 1993-1996
Author(s):  
Yu Zhuo Men ◽  
Hai Bo Yu ◽  
Hua Wang ◽  
Jin Gang Gao ◽  
Xin Pan
Keyword(s):  
Machine Vision ◽  
Detection Method ◽  
Detection System ◽  
Ccd Camera ◽  
Line Detection ◽  
Detection Accuracy ◽  
Side Rail ◽  
On Line ◽  
System Prototype

On-line detection method for automobile frame side rail process holes is proposed in this articled. It is achieved by virtue of machine vision technology detection method. Many images captured by CCD camera are processed and analyzed to finally complete the automatic detection of automobile chassis frame process holes. Machine vision technology is applied to achieve the on-line detection of machining quality of frame side rail mounting holes. The developed detection system prototype has very high detection accuracy.

Automatic Welding Track Detection for Welding Process by Machine Vision

2012 ◽  
Vol 462 ◽  
pp. 886-890
Author(s):  
G. Kiswanto ◽  
A. Rianto
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Direct Contact ◽  
Welding Process ◽  
Line Detection ◽  
Automatic Welding ◽  
Median Filtering ◽  
Hough Transforms ◽  
Image Processing Algorithms ◽  
Processing Algorithms

The use of machine vision technology in the welding process has been developed along with the need for more consistent and more qualified welding results. The application of machine vision to perform object analysis without direct contact to the object itself making the whole processes fast while maintaining the accuracy. In this study, some image processing algorithms are combined which include : image enhacement (grayscaling and median filtering), edge detection, binarization, and Hough Transform for line detection. The candidate of welding tracks are produced through this standard algorithm. However, afterward, some modifications to the Hough transforms are carried to enable finding the actual welding tracks. The implemented method is capable of detecting the actual welding tracks and their appropriate welding path with accuracy not more than 0.9 mm.

scholarly journals An on-line detection technology based on machine vision for micro parts assembly

2020 ◽  
Vol 1654 ◽  
pp. 012025
Author(s):  
Zeru An ◽  
Bingguo Liu ◽  
Guodong Liu ◽  
Binghui Lu ◽  
Zhitao Zhuang ◽  
...  
Keyword(s):  
Machine Vision ◽  
Line Detection ◽  
Detection Technology ◽  
Micro Parts ◽  
On Line
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