中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [2]
长春光学精密机械与物... [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [2]
期刊论文 [1]
发表日期
2018 [1]
2016 [1]
2010 [1]
学科主题
筛选
浏览/检索结果:
共3条,第1-3条
帮助
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
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Degraded document image binarization using structural symmetry of strokes
期刊论文
OAI收割
PATTERN RECOGNITION, 2018, 卷号: 74, 期号: 2018, 页码: 225-240
作者:
Jia, Fuxi
;
Shi, Cunzhao
;
He, Kun
;
Wang, Chunheng
;
Xiao, Baihua
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2018/01/03
Document Image Binarization
Structural Symmetry Of Strokes
Local Threshold
Stroke Width Estimation
Width Estimation of Glue Line for Engine Oil Sump Based on Planar Vision
会议论文
OAI收割
Yinchuan, China, 2016-5-28~2016-5-30
作者:
Yan Changguo
;
Xu De
;
Liu Yan
;
Zhang Feng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2016/06/20
Glue Line
Width Estimation
Morphological Method
Curve Fitting
Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE)
会议论文
OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
Bai X.-G.
;
Dai M.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first
we get the weight image from the target candidate region. Then
we analyze the differences between the object and background. According to that
the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation
we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix
we can estimate the width
height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.