Research Article
Research on Image Segmentation of Complex Environment Based on Variational Level Set
@INPROCEEDINGS{10.1007/978-3-030-72795-6_55, author={Hang Li and Dan Li and Kailiang Zhang and Chuangeng Tian}, title={Research on Image Segmentation of Complex Environment Based on Variational Level Set}, proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II}, proceedings_a={SIMUTOOLS PART 2}, year={2021}, month={4}, keywords={Variational level set Contour model Image segmentation C-V model}, doi={10.1007/978-3-030-72795-6_55} }- Hang Li
Dan Li
Kailiang Zhang
Chuangeng Tian
Year: 2021
Research on Image Segmentation of Complex Environment Based on Variational Level Set
SIMUTOOLS PART 2
Springer
DOI: 10.1007/978-3-030-72795-6_55
Abstract
An improved image segmentation model was established to achieve accurate detection of target contours under high noise, low resolution, and uneven illumination environments. The new model is based on the variational level set algorithm, which improves the C-V (Chan and Vese) model, fuses the contour and area models to segment the image information, and solves the problem of optimal solution of the energy model by finding the steady-state solution of the partial differential equation. It can improve the calculation accuracy, topological structure adaptability, anti-noise ability, and reduce the light sensitivity effectively. Experiment shows that the new model has good robustness, high real-time performance, and it can effectively improve detection accuracy.
