×
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
长春光学精密机械与物... [1]
内容类型
会议论文 [1]
发表日期
2006 [1]
×
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1条,第1-1条
帮助
限定条件
发表日期:2006
内容类型:会议论文
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
A novel starting-point-independent wavelet coefficient shape matching (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Hu S.
;
Zhu M.
;
Wu C.
;
Song H.-J.
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2013/03/25
In many computer vision tasks
in order to improve the accuracy and robustness to the noise
wavelet analysis is preferred for the natural multi-resolution property. However
the wavelet representation suffers from the dependency of the starting point of the sampled contour. For overcoming the problem that the wavelet representation depends on the starting point of the sampled contour
the Zernike moments are introduced
and a novel Starting-Point-lndependent wavelet coefficient shape matching algorithm is presented. The proposed matching algorithm firstly gains the object contours
and give the translation and scale invariant object shape representation. The object shape representation is converted to the dyadic wavelet representation by the wavelet transform. And then calculate the Zernike moments of wavelet representation in different scales. With respect to property of rotation invariant of Zernike moments
consider the Zernike moments as the feature vector to calculate the dissimilarity between the object and template image
which overcoming the problem of dependency of starting point. The experimental results have proved the proposed algorithm to be efficient
precise
and robust.
©版权所有 ©2017 CSpace - Powered by
CSpace