Research on Particle Segmentation of Rock Cast Slice Image
Rock particle size analysis is an important work in rock slice image analysis.In order to solve the problem of poor segmentation effect of fine rock particles in rock slice image by traditional threshold method,a rock slice image segmentation scheme based on deep learning is proposed.Firstly,U-Net is used to extract the cast area in the image.Then,the RCF network is used to obtain the edge of rock particles.Finally,the particles edge and cast area information are used to segment the particles.The experimental results show that compared with the threshold segmentation method,this method performs better in the segmentation of fine rock particles,and has higher segmentation accuracy at the edge of rock particles.
rock cast slice imageU-NetRCFrock particle segmentation
万方数据
维普
