In this paper, a nerves segmentation algorithm is presented based on the combination of hessian matrix and random walk techniques. We used hessian matrix to enhance the nerve area, then used morphological operations for nerve skeleton extraction and got the seed for random walk. Our algorithm has three phases, enhancement of nerve area on hessian matrix, extraction of skeleton points on enhanced area, finally segmentation of nerves. The experimental results show that the proposed method works well in segmentation of the nerve in NMR images with high accuracy
CITATION STYLE
Zhang, Z., Ma, Y., & Guo, L. (2015). An interactive method based on random walk for segmentation of facial nerve in NMR images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9428, pp. 607–614). Springer Verlag. https://doi.org/10.1007/978-3-319-25417-3_71
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