Grain Size Sieving Methods Based on Digital Image Processing Techniques
The grain size distribution of unconsolidated particles plays a significant role in riverbed or seabed stability,sediment transport,and coastal dispersion.With the development of image processing techniques,many digital image particle size sieving methods have emerged.This paper classifies digital image screening methods into two-dimensional digital image particle size screening methods and three-dimensional digital image particle size screening methods based on the dimensions of data processing results.Firstly,according to the core algorithms of 2D digital image particle size sieving methods,they were classified,and the applicability and shortcomings of each method were summarized.Secondly,the three-dimensional digital image particle size screening methods were analyzed,and their shortcomings are summarized.Finally,based on the advantages and disadvantages of each method,a new concept of integrating"geometric"and"artificial intelligence"particle size screening method was proposed,i.e.,the former provides the latter with a labelled training set,and the latter can be quickly adapted to new environments for digital screening tasks after training.The task of digital sieving in new environments can be quickly adapted after training.
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