Title :
The adaptive threshold for image segmentation in shape metering of hot-rolling strip steel
Author :
Yang, Xilin ; Jia, Lijuan ; Yu, Changyou ; Yan, Zecheng
Author_Institution :
Autom. Res. Inst., Minist. of Metall. Ind., Beijing, China
Abstract :
An image processing system in laser shape-meter for hot-rolling strip steel is introduced. During production, a grey´s variation of image background caused by the strip´s temperature fluctuation has an adverse effect on the steady shape measurement online. For this reason, a method to seek an adaptive threshold for image segmentation is presented. According to the adaptive principle, with the help of the online analysis on histogram of the regional images, the adaptive threshold is obtained
Keywords :
adaptive control; computer vision; computerised monitoring; hot rolling; image segmentation; real-time systems; shape measurement; steel industry; adaptive threshold; computer vision; hot-rolling; image processing system; image segmentation; process control; real time system; shape measurement; shape metering; steel strips; Fluctuations; Histograms; Image analysis; Image processing; Image segmentation; Production; Shape measurement; Steel; Strips; Temperature;
Conference_Titel :
SICE Annual, 1999. 38th Annual Conference Proceedings of the
Conference_Location :
Morioka
Print_ISBN :
4-907764-13-8
DOI :
10.1109/SICE.1999.788704
