Measurement of Surface Roughness by Computer Vision in Planning Operations
Detection and Recognition of the surface roughness in the images is a topic which has received a lot of attention in the field of image processing. In this paper, a new non-contact measurement method of surface roughness, by texture analysis, is developed based on Charge Coupled Device (CCD) image in planning operations. The surface image of the workpiece is first acquired using the A102f CCD digital camera. The image captured will be converted to others kinds of images (Binary, and Gray scale) to be suitable for the detection algorithms used for the different types of surface. The main Image processing approaches is used such as Smoothing process, Noise reduction, Edge detection, Region Splitting, and Hough Transform etc. The predicted surface finish values using this measurement method are found to correlate well with the conventional stylus surface finish ( Ra ) values.
Sihai Jiao, Zhengyi Jiang and Jinglong Bu
X. W. Chen et al., "Measurement of Surface Roughness by Computer Vision in Planning Operations", Advanced Materials Research, Vols. 146-147, pp. 361-365, 2011