An improved geometric active contour model for concrete ct image segmentation based on edge flow
文献类型:期刊论文
作者 | He Ning1; Lu Ke2; Bao Hong1 |
刊名 | Chinese journal of electronics
![]() |
出版日期 | 2010-10-01 |
卷号 | 19期号:4页码:687-690 |
关键词 | Image segmentation Edge flow Geometric active contour Texture |
ISSN号 | 1022-4653 |
通讯作者 | He ning() |
英文摘要 | To put forward an improved geometric active contour (gac) model based on the edge flow for segmentation of concrete computed tomography (ct) images an edge flow vector field is constructed at each pixel location basing on the integration of image intensity, color, and texture characteristics to make the vector field point to the direction of potential boundary pixels the gac field obtained by the diffusion of the edge flow vector is regarded as the external potential force of the gac model then the curve propagation is guided by the improved gac model the experimental results obtained by applying the method to segment concrete ct images by the integration of the edge flow into the gac model, the segmentation quality is obviously improved |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
语种 | 英语 |
WOS记录号 | WOS:000284517800023 |
出版者 | TECHNOLOGY EXCHANGE LIMITED HONG KONG |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2407102 |
专题 | 中国科学院大学 |
通讯作者 | He Ning |
作者单位 | 1.Beijing Union Univ, Sch Informat, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Grad Univ, Coll Comp & Commun Engn, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | He Ning,Lu Ke,Bao Hong. An improved geometric active contour model for concrete ct image segmentation based on edge flow[J]. Chinese journal of electronics,2010,19(4):687-690. |
APA | He Ning,Lu Ke,&Bao Hong.(2010).An improved geometric active contour model for concrete ct image segmentation based on edge flow.Chinese journal of electronics,19(4),687-690. |
MLA | He Ning,et al."An improved geometric active contour model for concrete ct image segmentation based on edge flow".Chinese journal of electronics 19.4(2010):687-690. |
入库方式: iSwitch采集
来源:中国科学院大学
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。