DocumentCode :
2284695
Title :
Size Detection of Firebricks Based on Machine Vision Technology
Author :
He Junji ; Shi Li ; Xiao Jianli ; Cheng Jun ; Zhu Ying
Author_Institution :
Shanghai Maritime Univ., Shanghai, China
Volume :
3
fYear :
2010
fDate :
13-14 March 2010
Firstpage :
394
Lastpage :
397
Abstract :
At the present time, quality of firebricks is detected manually one by one under a tough working environment. It is urgent to invent an automatic device to do this job. In response to this situation, this paper proposed a fast firebrick´s size detecting method and device which was based on monocular machine vision technology. The method is based on the homographic principle between imaging plane and object plane during monocular imaging process. Processing the firebricks´ surface image from a high resolution camera by image processing technique such as edge extracting, linking, segmenting, fitting, etc, it is able to calculate the length and width of a firebrick precisely. The test results proved that it has obtained the precision of manual method at present time and is very robust. The structure of the detecting system is simple, efficient and practical.
Keywords :
brick; brick industry; computer vision; edge detection; image segmentation; size measurement; surface texture; edge extraction; firebrick quality; high resolution camera; homographic principle; image segmentation; imaging plane; monocular imaging process; monocular machine vision; object plane; size measurement; Cameras; High-resolution imaging; Image edge detection; Image processing; Image resolution; Image segmentation; Joining processes; Machine vision; Surface fitting; Testing; Firebricks; Image Processing; Monocular Machine Vision; Size Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
Type :
conf
DOI :
10.1109/ICMTMA.2010.798
Filename :
5458989
Link To Document :
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