Image tubular structure extraction based on asymmetric quadratic metric

LiWei Li; MeiHong Yang

doi:10.1117/12.2636771

29 April 2022 Image tubular structure extraction based on asymmetric quadratic metric

LiWei Li, MeiHong Yang

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122470U (2022) https://doi.org/10.1117/12.2636771
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

In this paper, we propose a tubular structure segmentation method based on an adaptive front propagation scheme (AFP). Basically, the segmentation procedure is carried out by thresholding a geodesic distance map associated to a given metric. We adopt an asymmetric quadratic metric for estimating the geodesic distance values via a freezing front fast marching algorithm. The asymmetry property encoded in our method can alleviate the front leakage problem encountered in the traditional AFP method. Experimental results in both synthetic and real images prove the ability of the introduced method in extracting tubular structures.

Citation Download Citation

LiWei Li and MeiHong Yang "Image tubular structure extraction based on asymmetric quadratic metric", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122470U (29 April 2022); https://doi.org/10.1117/12.2636771

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