High Points Recognition Method of Scraped Surface Based on Background Subtraction
Using computer vision library OpenCV, a method of automatic recognition high points of scraped workpiece surface is presented. The image is dealt with by background subtraction, Median filtering, morphological processing, image negates, contour finding and drawing contours. In order to accurately and efficiently recognize the high-point contours and mark its center positions, mathematical morphology and specific processing function were used.
Research and application of edge detection operator based on mathematical morphology
In order to extract image edge information and eliminate noise,according to enlightenment of three indexes to evaluate the merit and inferior of edge detection by Canny and thinking of multiple structuring elements,two improvements are made to the general mathematic morphology edge detection:first,the image is filtered using compound mathematic morphology filter;second,the mathematic morphology edge detection operator with multiple structuring elements and noise elimination is constructed using multiple structuring elements thinking.The steps using this improved mathematic morphology edge detection algorithm are summarized.The experimental result indicates that this method can retain more edge information and resolve the conflict between Signal-to-Noise and single edge response to some extent.Finally,this method is used in the leakage test and a new leakage test method is obtained.
Development of a surface roughness measurement system using reflected laser beam
Abstract The scattered light pattern reflected from a machined surface generally contains much information concerning the surface roughness. This study examines and proposes a surface roughness measurement technique for the on-machine measurement of the roughness of machined surfaces. The technique is based on the measurement of scattered light patterns and the statistical analysis of the light intensity distribution. Scattered light patterns spread out narrowly in a direction vertical to the tiny scratches on the machined surface caused by tools. The deeper the scratch, the more dispersion there is, which indicates a rougher surface. The standard deviation of the scattered light pattern is nearly in proportion to the surface roughness. Measurements obtained using this method are within 10% of those obtained using a common contact method. Therefore, the proposed method is thought to be effective for use when a quick measurement is needed when a workpiece is fixed onto the machine.