ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
The tool wear monitoring system based on the image processing and computer vision hasbetter study value and foreground. During the cutting, the cutting tool is always at the movementstate, thus, the real-time collected sequence images by CCD sensor are blurred with noise. As aresult, we have to confront the problem how to get the high quality images, which is researched bythis paper. The paper analyzes the reasons which causing the image blurred, brings forward adegradation function model and finds the degradation of tool wear images dues to the relativemovement. According to this function model and combined with the application of fuzzy theory, therestoration algorithm is obtained. The membership function dealing with degraded images ofcutting tools is put forward. It turns out that the images restored by this fuzzy restoration algorithmreach our aim
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/51/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.315-316.324.pdf
Permalink