scholarly journals Measurement of Gem Colour Using a Computer Vision System: A Case Study with Jadeite-Jade

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 791
Author(s):  
Sufei Zhang ◽  
Ying Guo

This paper introduces computer vision systems (CVSs), which provides a new method to measure gem colour, and compares CVS and colourimeter (CM) measurements of jadeite-jade colour in the CIELAB space. The feasibility of using CVS for jadeite-jade colour measurement was verified by an expert group test and a reasonable regression model in an experiment involving 111 samples covering almost all jadeite-jade colours. In the expert group test, more than 93.33% of CVS images are considered to have high similarities with real objects. Comparing L*, a*, b*, C*, h, and ∆E* (greater than 10) from CVS and CM tests indicate that significant visual differences exist between the measured colours. For a*, b*, and h, the R2 of the regression model for CVS and CM was 90.2% or more. CVS readings can be used to predict the colour value measured by CM, which means that CVS technology can become a practical tool to detect the colour of jadeite-jade.

Author(s):  
Gabriel Thomas

Having offered a computer vision course as a 4th year undergraduate elective for almost a decade now prompt me to re-evaluate it, not just with the idea of adding new trends seen at international symposia on a yearly basis but evaluating the course taking into consideration what can be seen as needed outside academia and within academia as a preparation for industry jobs and further studies and research. Thus, this paper suggests the different topics that such a course must cover in order to have a strong background on the necessary steps needed to successfully implement a computer vision system. A discussion regarding software and hardware tools involves what I perceive to be an importance towards covering computer vision based on mobile devices.


2020 ◽  
Vol 61 (2) ◽  
pp. 153-160
Author(s):  
Bojana Milovanović ◽  
Ilija Đekić ◽  
Bartosz Sołowiej ◽  
Saša Novaković ◽  
Vesna Đorđevic ◽  
...  

Author(s):  
Ivan Konovalenko ◽  
Aleksandr Shkanaev ◽  
Uryi Minkin ◽  
Aleksei Panchenko ◽  
Dmitry Putintsev ◽  
...  

Robotics ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Valter Costa ◽  
Peter Cebola ◽  
Armando Sousa ◽  
Ana Reis

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