Development of a machine vision system for automatic date grading using digital reflective near-infrared imaging

2008 ◽  
Vol 86 (3) ◽  
pp. 388-398 ◽  
Author(s):  
Dah-Jye Lee ◽  
Robert Schoenberger ◽  
James Archibald ◽  
Steve McCollum
2013 ◽  
Vol 303-306 ◽  
pp. 573-577
Author(s):  
Min Xu ◽  
Yue Ma ◽  
Shuai Chen

Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared image to evaluate jujube quality by analyzing two-dimensional images. Near-infrared image, vision algorithms and a variety of operational details of the system, including cameras, optics, illumination, and fruit carrier are presented. The complete machine vision system has been built, and the experimental results show that the designed machine vision system is feasible to detect the defects of jujubes.


2020 ◽  
Vol 109 ◽  
pp. 103410 ◽  
Author(s):  
Shib Sankar Sarkar ◽  
Ankit Das ◽  
Siddhartha Paul ◽  
Aniruddha Ghosh ◽  
Kalyani Mali ◽  
...  

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Stereoscopic Displays and Applications proceedings.


2005 ◽  
Vol 56 (8-9) ◽  
pp. 831-842 ◽  
Author(s):  
Monica Carfagni ◽  
Rocco Furferi ◽  
Lapo Governi

Author(s):  
Ewa M. Nowara ◽  
Tim K. Marks ◽  
Hassan Mansour ◽  
Ashok Veeraraghavan

2021 ◽  
Vol 93 (5) ◽  
pp. 3035-3041
Author(s):  
Zhao Wang ◽  
Weiwei Wang ◽  
Pengzhan Wang ◽  
Xinjian Song ◽  
Zhiqiang Mao ◽  
...  

2012 ◽  
Vol 546-547 ◽  
pp. 1382-1386
Author(s):  
Yin Xia Liu ◽  
Ping Zhou

In order to promote the application and development of machine vision, The paper introduces the components of a machine vision system、common lighting technique and machine vision process. And the key technical problems are also briefly discussed in the application. A reference idea for application program of testing the quality of the machine parts is offered.


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