An Approach of Mesh and Striation Texture Recognition for Ore Microscope Image Classification
矿物显微图像中网孔状及针板状成分识别方法研究

The ingredient analysis of ore microscope image is a challenging research area. To accomplish automatic recognition task on a kind of ore, this paper proposed an improved statistical hypothesis method for mesh texture ingredient recognition; and with Sobel edge detection, Skeleton Extraction, Hough Transformation another method is proposed on the recognition for needle like or striation texture ingredient. The experimental results show that the methods proposed in this paper are efficient.