Application Research of Visual Processing Technology in the Industrial Production Line

2014 ◽  
Vol 563 ◽  
pp. 338-341
Author(s):  
Jun Hong Wang ◽  
Zong Rui Li ◽  
Xi Bin Wang
Keyword(s):  
Image Processing ◽  
Visual Processing ◽  
Processing System ◽  
Image Sensor ◽  
Digital Signals ◽  
Information Preservation ◽  
Level Of Automation ◽  
Ccd Image Sensor ◽  
Processing Techniques ◽  
Ccd Image

The CCD image sensor is set in the different production position, whose output signal is converted into digital signals to a dedicated image processing system by A/D. Using the image enhancement, smoothing, sharpening, segmentation, feature extraction, image recognition and understanding of digital image processing techniques,the system can identify the image, compare with feature information preservation, decide whether to enter the next process according to the similarity degree of alignment. Visual inspection having high precision, fast speed, working in the industrial field is stable and reliable, and improves the level of automation of production, make the products more competitive.

scholarly journals System Design for Evenness Measurement of Raw Silk

2018 ◽  
Vol 26 (1(127)) ◽  
pp. 21-24
Author(s):  
Qingtian Pan ◽  
Miao Chen ◽  
Yucai Hu ◽  
Baoqi Zuo
Keyword(s):  
Image Processing ◽  
Human Error ◽  
Detection System ◽  
Image Acquisition ◽  
Image Sensor ◽  
Threshold Segmentation ◽  
Ccd Image Sensor ◽  
The Stability ◽  
Ccd Image ◽  
Telecentric Lens

The evenness of raw silk is one of its most valuable qualities. Seriplane inspection is a common test for raw silk evenness but is prone to human error and lacks accurate repeatability; the Uster evenness tester is another common approach but is costly and vulnerable to environmental factors. An image-based raw silk evenness detection system is proposed in this paper. The system is comprised of an image acquisition segment with a CCD image sensor, telecentric lens, light source, over feeding device, and raw silk winding device, plus an image processing segment tasked with threshold segmentation and morphology operations. Images of the raw silk are first captured with the image acquisition segment, then the images are processed by threshold segmentation and morphology processing; the diameters obtained in this segment are then used to calculate the variation coefficient (CV), which characterises the evenness of the raw silk. We conducted three experiments to test the stability, repeatability, and accuracy of the system. The results showed that the system proposed is stable, repeatable, and accurate.

Investigation of SEE Breakdown in CCD Image Sensor

2018 ◽  
Author(s):  
Maksim E. Cherniak ◽  
Roman K. Mozhaev ◽  
Alexander A. Pechenkin ◽  
Dmitry V. Boychenko ◽  
Alexander Y. Nikiforov
Keyword(s):  
Image Sensor ◽  
Ccd Image Sensor ◽  
Ccd Image

scholarly journals Design of a hardware/software FPGA-based driver system for a large area high resolution CCD image sensor

2014 ◽  
Vol 4 (3) ◽  
pp. 274-280 ◽  
Author(s):  
Ying Chen ◽  
Wanpeng Xu ◽  
Rongsheng Zhao ◽  
Xiangning Chen
Keyword(s):  
High Resolution ◽  
Image Sensor ◽  
Large Area ◽  
Ccd Image Sensor ◽  
Ccd Image

A 2/3 inch 400 k pixel sticking-free stack-CCD image sensor

1993 ◽  
Author(s):  
M. Sasaki ◽  
Y. Koya ◽  
H. Yamashita ◽  
S. Ohsawa ◽  
R. Miyagawa ◽  
...  
Keyword(s):  
Image Sensor ◽  
Ccd Image Sensor ◽  
Ccd Image

Large-format 1280 x 1024 full-frame CCD image sensor with a lateral-overflow drain and transparent gate electrode

1991 ◽  
Author(s):  
Eric G. Stevens ◽  
Stephen L. Kosman ◽  
John C. Cassidy ◽  
Winchyi Chang ◽  
Wesley A. Miller
Keyword(s):  
Image Sensor ◽  
Gate Electrode ◽  
Large Format ◽  
Ccd Image Sensor ◽  
Ccd Image

A 1280 × 980 pixel CCD image sensor

2005 ◽  
Author(s):  
I. Akiyama ◽  
T. Tanaka ◽  
E. Oda ◽  
T. Kamata ◽  
K. Masubuchi ◽  
...  
Keyword(s):  
Image Sensor ◽  
Ccd Image Sensor ◽  
Ccd Image
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