CASIA OpenIR  > 毕业生  > 硕士学位论文
基于小波和特征抽取的引线孔识别
胡颖
Subtype工学硕士
Thesis Advisor洪继光
1998-06-01
Degree Grantor中国科学院自动化研究所
Place of Conferral中国科学院自动化研究所
Degree Discipline模式识别与智能系统
Keyword小波变换 直方图均衡化 K-l变换 矩不变量 Sobel算子 Wavelet Transform Histogram Equalization K-l Transform Moment Invariants Sobel Operator
Abstract本文介绍了一个从IC图象中自动提取引线孔的算法。此算法以小波变换, 模式识别和图像处理理论为指导,以引线孔的特征为线索,较好地完成了在庞大 的IC图像数据中识别引线孔的任务。 首先利用小波分解对引线孔进行粗定位,除去不可能存在引线孔的无效区, 利用SOBEL算子对横,竖边缘的敏感性再去除一些无效区,以尽量减少搜索空 间。为提取引线孔的特征,我们使用K-L变换和矩不变量以得到与孔的大小,形 状,方向无关的本质特征。为消除由于聚焦和位置的少许变化而引起的不同图像 间灰度差异,我们使用直方图均衡化的方法,这是针对IC图像而言的。所有这 些方法为IC图像中引线孔的识别找到了一条有效途径。
Other AbstractIn this thesis we present an effective algorithm,which can extract holes automatically from IC images,and implement the practical tasks satisfactorily. First,holes are coarsely located by using wavelet decomposition to eliminate some non-hole regions.Then further elimination is done by using SOBEL operator, which is sensitive to horizontal and vertical edges.Using moment invariants and K-L transform,we can find the holes'essential features which is invariant to holes'size, shape and orientation and use these features to finally recognize holes.Meantime,we use histogram equalization to make up the slightly difference of gray level between images.
shelfnumXWLW480
Other Identifier480
Language中文
Document Type学位论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7233
Collection毕业生_硕士学位论文
Recommended Citation
GB/T 7714
胡颖. 基于小波和特征抽取的引线孔识别[D]. 中国科学院自动化研究所. 中国科学院自动化研究所,1998.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[胡颖]'s Articles
Baidu academic
Similar articles in Baidu academic
[胡颖]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[胡颖]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.