Dynamic speckles are produced when a diffuse object moving along x-axis with constant velocity is illuminated by coherent light. The diffuse object is considered as a weak random phase screen, statistical properties of dynamic speckles in the Fresnel diffraction field are given in this paper. It is shown that the statistical properties of dynamic speckles depend on the optical condition, surface roughness, and moving velocity of the diffuse object. The parameters describing the property of dynamic speckles extracted from the speckle image, such as fractal dimension, speckle contrast, gray feature of speckle image, binary feature and speckle size. Then according to these features parameters, the recognizing system is established based on neural network technique. Four metallic flat-grinding samples, moving with velocity 4<i>mm</i>/<i>s</i> and 16<i>mm</i>/<i>s</i> respectively, are measured the roughness using this experiment set-up and recognizing system. It’s shown that the average roughness data <i>Ra</i> obtained using the new technique and the <i>Ra</i> obtained using Talysurf are in good agreement. The experimental set-up of this method is simple, fast, and not sensitive to change of circumstance and vibration. Hence, it has great potential for application to real-time measurement.
Dynamic speckles appear when a diffuse object moving in a plane is illuminated by a Gaussian light beam. The statistical properties of dynamic speckles produced in the Fresnel diffraction field by a diffuse object moving along x-axis with constant velocity are investigated in this paper. The space-time correlation function of the dynamic speckle intensity fluctuation is discussed in detail by using a weak random phase screen as a model of the diffuse object. The parameters describing the properties of the space-time cross-correlation of dynamic speckles, such as average grain size, translation distance and correlation distance, are given under some special conditions. It is shown that the statistical properties of dynamic speckles depend on the optical condition, surface roughness, and moving velocity of the object. The relation of translation and boiling motions of the dynamic speckles and the optical condition and surface roughness is discussed. The possibility is presented for measuring the roughness of the object using the correlation function of dynamic speckles.