Analysis method of micro surfaces using wavelet transform and watershed segmentation

Such as the mean radius of asperity peaks, the mean asperity distance, the density of asperities and the standard deviation of asperity height. A method combining wavelet transform and watershed segmentation was put forward to obtain all these feature parameters. The major idea of the method was: first, the data of surface roughness were picked up from the profile data by wavelet transform; then every surface asperity was separated by watershed segmentation; the third step was to gain the parameters of each asperity by curve fitting; finally the whole surface feature parameters were calculated by statistics. The surfaces of micro glass balls were analyzed using the above method, and the similar results with previous research are achieved.