Computer Science ›› 2017, Vol. 44 ›› Issue (11): 50-55.doi: 10.11896/j.issn.1002-137X.2017.11.008

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Sandstone Microscopic Image Analysis Method and Tool Implementation

HAO Hui-zhen, JIANG Feng, LI Na and GU Qing   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Image analysis is an important method for studying sandstone.The research to develop methods which are suitable for sandstone microscopic image analysis and its implementation are valuable for both studying sandstone petrology and oil-gas exploration.This work developed a software system for sandstone microscopic image analysis.Firstly,superpixel segmentation method SLIC is adapted to segment microscopic images of sandstone which forms superpi-xels with only one mineral ingredient.Secondly,as the training data,the color and local features are extracted from micro-mineral images,and are used to train classifier to classify superpixels.Lastly,those adjective superpixels are merged to a whole mineral grain which is labeled with its category as a result.Based on this method,a set of tools were designed to perform mineral composition and texture analysis on the sandstone microscopic images.The analysis on microscopic images of sandstones from Tibet verified this method to be practical and useful.However,this developed software tool need to be further improved and optimized.

Key words: Sandstone,Microscopic image,Superpixel,Image segmentation,Classification,Annotation

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