Abstract:Segmentation and extraction of mineral particles in rock ore slice images is the premise of analysis and identification. In order to further improve the accuracy of mineral particle extraction, a new method of mineral particle extraction and segmentation is proposed. A set of orthogonal polarized light sequence images of rock ore slice are token as input in this method.Firstly,an improved FCM algorithm is used in each orthogonal polarized light sequence image for initial edge extraction.Secondly, multiple edge images are superimposed.Thirdly, the resulting superimposed edge images are refined and target particles are filtered to obtain The initial segmentation image.Finally, In order to suppress the over-segmentation of the particles, the RAG-based merge algorithm is used to perform region merge. First,an initial merging operation is performed according to the color and texture characteristics of the particles, and then a secondary merging operation is performed according to the change rule of the mineral particles under different orthogonal polarization angles, so as to obtain the final segmentation image. Experiments on multiple sets of images show that this method can obtain good results.