MEASUREMENT OF ROUGHNESS USING IMAGE PROCESSING

J. Ondra
Abstract:
A surface roughness measurement technique, based on an optical method using a computer vision system, was investigated for applicability to inprocess monitoring of surface quality. The developed vision system uses a CCD camera for scanning gray-scale images from an area of the machined workpiece. This images were analysed with digital image processing system. Some new optical roughness parameters were derived from the images based on their histograms and optical objects of machined surface. New parameters were plotted against the corresponding average roughness values (Ra ) determined using a stylus method. The resulting curves were researched to determine which optical parameters are optimal for use in the surface monitoring system. As most useful were a number of dark objects of the image and coefficient of variation of the histogram of inspected surface.
Keywords:
surface roughness, CCD camera, monitoring system
Download:
IMEKO-WC-2000-TC14-P390.pdf
DOI:
-
Event details
Event name:
XVI IMEKO World Congress
Title:

Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future

Place:
Vienna, AUSTRIA
Time:
25 September 2000 - 28 September 2000