Improved Algorithm for Image Segmentation based on the Three-dimensional Reconstruction of Tumor Images

Recently, more and more researchers have been paying close attention to tumor image processing techniques, in which the tumor image segmentation technology is regarded as the absolute research focus. Given that there exist only one tumor image segmentation algorithm, no further high quality three-dimensional slice can be provided for the later reconstruction of the three-dimensional reconstruction of tumor images. In this paper, we propose an improved segmentation algorithm by combining the fuzzy clustering segmentation with the fuzzy edge enhancement. Finally, the experimental results show that the fuzzy clustering segmentation is highly efficient for dealing with the fuzziness and complexity of brain tissues, and the images after the fuzzy clustering segmentation calculated by the edge detection algorithm of fuzzy enhancement have more clear edges, which provides a solid foundation for further 3D processing and finally helps achieve better 3D visualization effect on brain tumors. Our algorithm provides promising application prospect in the field of the medical image processing.