现代电子技术2017，Vol.40Issue(11)：72-75,4.DOI:10.16652/j.issn.1004-373x.2017.11.019
一种改进的凸变分水平集模型在图像分割中应用
Application of an improved convex variational level-set model in image segmentation
高慧芳 1杨明2
作者信息
- 1. 中北大学 信息探测与处理山西省重点实验室,山西 太原 030051
- 2. 朔州师范高等专科学校,山西 朔州 036000
- 折叠
摘要
Abstract
Since the traditional variational level-set CV model can′t segment the uneven gray-level image in the process of image segmentation,an improved level-set formulation convex energy function is put forward. This model can use the initial value flexibly,and set the reasonable terminal condition in the algorithm,with which the image segmentation effect is clear for the simple background image. The image segmentation is clean for the image with distinct foreground and specific target,and its foreground and background are explicit. The captured target contour is clear for the image with poor contrast between the target and background. The model applied to the image can improve the segmentation accuracy,shorten the calculation time,and has perfect segmentation result.关键词
凸变分水平集/能量函数/图像分割/变分系数Key words
convex variational level set/energy function/image segmentation/coefficient of variation分类
信息技术与安全科学引用本文复制引用
高慧芳,杨明..一种改进的凸变分水平集模型在图像分割中应用[J].现代电子技术,2017,40(11):72-75,4.
