Elliptic Object Detection Based on Shape Preserving and Active Contour
文献类型:期刊论文
作者 | Li XM(李小毛); Min L(闵莉)![]() ![]() |
刊名 | 光电工程
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出版日期 | 2008 |
卷号 | 35期号:2页码:97-102 |
关键词 | 形状保持 椭圆状目标 主动轮廓 Chan-vese模型 水平集 |
ISSN号 | 1003-501X |
其他题名 | 基于形状保持主动轮廓的椭圆状目标检测 |
产权排序 | 1 |
英文摘要 | We integrate the detected object shape represented by shape restraint equation(s) and general active contour models into a unified energy function to generate the shape preserving active contour model,which keeps the curve to be a specific class shape in the evolvement. In this model,a specific class contour shape is represented as the zero level line of some certain parametric level set function(s). So,this model can not only detect the given object correctly but also characterize the object shape quantificationally via these parameters. In addition,we build an energy functional for elliptic objects detection using the proposed model,deduce the corresponding Euler-Lagrange ordinary differential equation (ODE(s)) of its shape parameters and implement them using level sets method. The elliptic object detection model has many applications such as papilla segmentation,iris detection and camera calibration. By numerical experiments presented in the paper,it can not only detect the elliptic objects correctly but also is robust to noise,deformity and occlusion etc. |
语种 | 英语 |
CSCD记录号 | CSCD:3214353 |
资助机构 | 中国科学院创新基金(CX01-04-02) |
公开日期 | 2010-11-29 |
源URL | [http://210.72.131.170//handle/173321/2461] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Li XM(李小毛) |
作者单位 | State Key Lab. of Robotics, Shenyang Institute of Automation, Chinese Acad. of Sci., Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Li XM,Min L,Tang YD. Elliptic Object Detection Based on Shape Preserving and Active Contour[J]. 光电工程,2008,35(2):97-102. |
APA | Li XM,Min L,&Tang YD.(2008).Elliptic Object Detection Based on Shape Preserving and Active Contour.光电工程,35(2),97-102. |
MLA | Li XM,et al."Elliptic Object Detection Based on Shape Preserving and Active Contour".光电工程 35.2(2008):97-102. |
入库方式: OAI收割
来源:沈阳自动化研究所
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