Ochotona curzoniae image segmentation based on the improved LBF model

doi:10.13245/j.hust.160216

	Ochotona curzoniae image segmentation based on the improved LBF model
	Zhang, Aihua1 ; Hu, Shiya 1; Chen, Haiyan1,2
	2016-02-23
发表期刊	Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
ISSN	16714512
卷号	44 期号:2 页码:75-80
摘要	Ochotona curzoniae images possess the characteristics of complex background, low contrast, intensity inhomogeneity and much noise. The improved local binary fitting (LBF) model combined with image gradient information was proposed. As the local binary fitting model has a problem of falling into local minimums easily during the process of evolution, the improved model could avoid falling into the local optimum by bringing in the global image gradient information and creating new energy function. The global gradient energy can lead the active contour curve to the boundaries of target quickly, so it can reduce iteration numbers of the algorithm and improve the segmentation accuracy. The experimental results show that the proposed method can not only improve segmentation accuracy and reduce iteration numbers but also has a positive effect on background suppression and contour location. © 2016, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
关键词	Curve fitting Image segmentation Iterative methods Active contours Background suppression Image gradients Intensity inhomogeneity Level Set Ochotona curzoniae Process of evolution Segmentation accuracy
DOI	10.13245/j.hust.160216
收录类别	EI
语种	中文
出版者	Huazhong University of Science and Technology
EI入藏号	20161302163881
EI主题词	Image enhancement
EI分类号	921.6 Numerical Methods
来源库	Compendex
分类代码	921.6 Numerical Methods
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/112524
专题	电气工程与信息工程学院计算机与通信学院
作者单位	1.Department of Information and Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Department of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhang, Aihua,Hu, Shiya,Chen, Haiyan. Ochotona curzoniae image segmentation based on the improved LBF model[J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),2016,44(2):75-80.
APA	Zhang, Aihua,Hu, Shiya,&Chen, Haiyan.(2016).Ochotona curzoniae image segmentation based on the improved LBF model.Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),44(2),75-80.
MLA	Zhang, Aihua,et al."Ochotona curzoniae image segmentation based on the improved LBF model".Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 44.2(2016):75-80.