Image segmentation of integrated edge and region information by lattice Boltzmann model
1.School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China; 2.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
Abstract：To avoid the problems of heavy calculating work and needing re-initialization of traditional Level Set method, a novel lattice Boltzmann (LB) method was proposed for image segmentation. The edge information and the region statistical information were introduced respectively as relaxing factor and source term of LB equation to control the evolution of active contour as both internal and external forces. Synthetic images and real images were experimented to verify the model. The proposed model was compared with geodesic active contour(GAC) model and chan-vese(CV) model. Area overlap measure and misclassified error were used as evaluation indexes to discriminate the results. The experimental results show that the algorithm is simple and fast with high efficiency, and can avoid re-initialization. The global or local image segmentation can be selectively realized in the proposed method.
温军玲1,2, 严壮志1, 孙玉彪1, 林笑曼1. 集成边缘和区域信息的格子波尔兹曼模型图像分割[J]. 江苏大学学报（自然科学版）, 2013, 34(6): 687-692.
Wen Junling1,2, Yan Zhuangzhi1, Sun Yubiao1, Lin Xiaoman1. Image segmentation of integrated edge and region information by lattice Boltzmann model[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2013, 34(6): 687-692.
2013, Vol. 34 
