Granulometry Using Image Transformation Techniques

Abstract

In this paper, we present our preliminary study on using transformation-based techniques for performing granulometry analysis. We examine specifically the problem of the particle size analysis in oil sand images. In contrast to conventional methods of size analysis, we avoid the difficult step of image segmentation and derive information about the size distribution of the particles in the images directly by the transformation techniques of Fourier analysis and scale-space decomposition. We have tested our techniques on both simulated artificial data and real video images, and demonstrated the feasibility of the proposed approaches