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An image-processing technique is presented for analyzing nonspherical particles in backlighted images of sprays. Focus discrimination is designed to accommodate not only the nonspherical shapes but also nonideal lighting conditions such as poor contrast and non-uniform shading. Additionally, in most cases the method is capable of recognizing when light transmitted or reflected through transparent particles makes them falsely appear as if they had holes in them. The algorithm is a postprocessor which can operate on stored digital image data either independently or in conjunction with other processing methods. Example applications are included.
nonspherical particles, image processing, focus discrimination, shape characterization
Research engineer, Shanghai Diesel Engine Research Institute, Shanghai Diesel Engine Works, Shanghai,
Assistant professor, The University of Michigan, 313 Lay Automotive Lab, Ann Arbor, MI