×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
沈阳自动化研究所 [2]
成都理工大学 [1]
内容类型
期刊论文 [2]
会议论文 [1]
发表日期
2013 [3]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共3条,第1-3条
帮助
限定条件
发表日期:2013
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
不同材料对γ射线衰减系数的 MCNP 模拟
期刊论文
2013, 卷号: 33, 页码: 1376-1380
作者:
刘自霞
;
陆春海
;
陈敏
;
张志程
;
黄硕
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/04
线衰减系数
γ射线
能谱
辐射屏蔽
低信噪比红外图像直线段检测算法
期刊论文
红外与激光工程, 2013, 卷号: 42, 期号: 1, 页码: 278-284
作者:
艾锐
;
史泽林
;
张程硕
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/04/21
直线段检测
低信噪比红外图像
局部非各向同性度
相位编组
背景反例模型
A line mapping based automatic registration algorithm of infrared and visible images
会议论文
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ai R(艾锐)
;
Shi ZL(史泽林)
;
Xu DJ(徐德江)
;
Zhang CS(张程硕)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.
©版权所有 ©2017 CSpace - Powered by
CSpace