Crack detection algorithm for oil rock core industrial CT image

In order to meet the requirement of crack region segmentation, based on the characteristics of oil sedimentary core industrial CT image, the level set segmentation algorithm is improved. Firstly, a median filter is used for denoising, and a C-V model is adopted to get the coarse image segmentation result. The background area and the core area are separated, and the contour of the core is obtained. Secondly, the gray level of the background region is adjusted, so that it is equal to the average gray level of the core area. Finally, the Region-Scalable Fitting (RSF) model is adopted to precisely segment the crack region. For the core image of Gauss noise pollution, the method of non-local mean with the neighborhood window is used, and then the improved level set algorithm is used. The experimental results show that the improved level set algorithm for image segmentation is effective for oil rock core CT image.