DocumentCode :
3391758
Title :
Reading identification Algorithms of mercury thermometer based on machine vision
Author :
Xiang Yi ; Wu Ying ; Chai Yi ; Wang Cheng-min
Author_Institution :
Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
fYear :
2009
fDate :
15-17 June 2009
Firstpage :
232
Lastpage :
235
Abstract :
Based on machine vision techniques, the reading identification algorithms of mercury thermometer was presented. According to the Huffman transformation methods, three-time expansion operation combined with three-time erosion operation is used to locate the mercury, mercury pole and the scales. On the basis of performing spatial moment subpixel localization, the temperature value indicated by thermometer is calculated using location information between edge pixels. Experiment results show that these algorithms with accuracy of 0.1degC can meet the practical application.
Keywords :
computer vision; thermometers; transforms; Huffman transformation methods; machine vision; mercury thermometer; reading identification algorithms; spatial moment subpixel localization; three-time erosion operation; three-time expansion operation; Charge coupled devices; Educational institutions; Fuel processing industries; Image processing; Inspection; Machine vision; Optical recording; Petroleum; Software standards; Temperature; Algorithms; Machine vision; Mercury thermometer; Reading identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
Type :
conf
DOI :
10.1109/COGINF.2009.5250740
Filename :
5250740
Link To Document :
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