Research on the illumination model based on light scattering properties of steel surface

Experimental scheme was designed based on the steel production process, surface optical characteristics and BRDF (Bidirectional Reflectance Distribution Function) illumination model theory. The relationship between the light incidence angle, surface roughness and laws of light scattering under a particular light-source conditions were found through a series of light scattering characteristics experiments for different steel plate surface. The results showed that there was an apparent specular reflection peak on steel surface. surface light scattering was influenced greatly by light incidence angle and surface roughness, and it showed the law of exponential distribution functions. Thus the improved semi-empirical light scattering mathematical model which based on roughness factor and surface Gaussian distribution of micro-plane components has been formed through non-linear model fitting and optimization. The surface illumination model has been proposed to accurately describe the light intensity distribution of steel plate surface and provide a theoretical method for the design of optimal imaging system.

[1]  P. Beckmann,et al.  The scattering of electromagnetic waves from rough surfaces , 1963 .

[2]  Shree K. Nayar,et al.  Generalization of the Lambertian model and implications for machine vision , 1995, International Journal of Computer Vision.

[3]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[4]  Edwin R. Hancock,et al.  A Light Scattering Model for Layered Dielectrics with Rough Surface Boundaries , 2008, International Journal of Computer Vision.

[5]  M. Pauline Baker,et al.  Computer graphics with OpenGL (3. ed.) , 2004 .

[6]  Robert L. Cook,et al.  A Reflectance Model for Computer Graphics , 1987, TOGS.

[7]  L J Li,et al.  Measuring system about the straightness and parallelism error of the , 2002 .

[8]  Fernando Puente León,et al.  Model-Based Segmentation of Surfaces Using Illumination Series , 2007, IEEE Transactions on Instrumentation and Measurement.

[9]  Donald P. Greenberg,et al.  A comprehensive physical model for light reflection , 1991, SIGGRAPH.

[10]  Eric P. Lafortune,et al.  Using the modified Phong reflectance model for physically based rendering , 1994 .

[11]  Jian-yi Kong,et al.  Research on image acquisition of automatic surface vision inspection systems for steel sheet , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

[12]  Frédéric Mérienne,et al.  Simulation of Specular Surface Imaging Based on Computer Graphics: Application on a Vision Inspection System , 2002, EURASIP J. Adv. Signal Process..

[13]  James F. Blinn,et al.  Models of light reflection for computer synthesized pictures , 1977, SIGGRAPH.

[14]  Shree K. Nayar,et al.  Improved Diffuse Reflection Models for Computer Vision , 1998, International Journal of Computer Vision.

[15]  K. Torrance,et al.  Theory for off-specular reflection from roughened surfaces , 1967 .