Abstract
The fine particles of mineral ore are a mixture of granules of various sizes, which collectively look like a texture. It is difficult to estimate the size distribution of such fine particles using conventional image segmentation techniques. In this paper, we propose an image-retrieval-like approach to estimate the size distribution of the fine particles. We introduce a new wavelet signature and a fitting algorithm for wavelet coefficients based on the theory of fragmentation.
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