Improved OTSU Algorithm for Sand CT Image Segmentation and Fabric Analysis
Sand is widely used in earth-rock dams,foundation treatment,geotechnical reinforcement and other engineering applications,and there is a close relationship between its mechanical properties and internal structural characteristics.Currently,the relationship between the macro mechanical properties and micro-properties of sand is not well understood.This paper addresses the key scientific problem of quantifying the anisotropy of sand by using the profile of sand samples obtained through CT technology as the research subject.First,histogram equalization and median filtering are applied to reduce image noise and enhance resolution.Second,OTSU algorithm improved by mathematical morphology is employed to effectively mitigate the effects of non-uniform illumination.Finally,the watershed algorithm is utilized to optimize the adhesion between overlapping particles,thereby enhancing segmentation performance and producing a clear binary image.The directional distribution of internal pores within sand particles is quantified using the ring test line method,and its macroscopic mechanical properties are assessed.The results indicate that the extracted meso-parameter information is accurate and effectively illustrates the meso-fabric of sand particles processed by this method.The typical anisotropy of sand particles is verified,which proves the effectiveness and reliability of the proposed method.
CT imagesimage processingsand particlesmesoscopic characteristicspore distribution
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