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科研机构
自动化研究所 [6]
武汉大学 [5]
北京大学 [4]
厦门大学 [3]
长春光学精密机械与物... [3]
沈阳自动化研究所 [3]
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期刊论文 [19]
会议论文 [10]
学位论文 [5]
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2006 [38]
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Chemistry;... [1]
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光电子学 [1]
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Deeply pipelined DSP solution to deblocking filter for H.264/AVC
期刊论文
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2006, 卷号: 52, 期号: 4, 页码: 1267-1274
作者:
Yang, Zhigang
;
Gao, Wen
;
Liu, Yan
;
Zhao, Debin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/16
DSP
software pipeline
memory organization
deblocking filter
H.264/AVC
真实感人脸建模和动画研究
学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
李永林
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2015/09/02
个性化真实感人脸建模
真实感人脸动画
可视语音合成
Photo realistic facial modeling
Behavior realistic facial animation
Talkinghead
图像与视频分割
学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
作者:
杨明辉
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  |  
浏览/下载:26/0
  |  
提交时间:2015/09/02
分水岭分割
隐马尔可夫树模型
全局运动模型
自动运动目标检测
watershed segmentation
Hidden Markov Tree Model
global motion model
automatic moving target detection
复杂表格自动理解方法与系统
学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
作者:
朱远平
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  |  
浏览/下载:100/0
  |  
提交时间:2015/09/02
文档图像
表格理解
表格处理
表格识别
图像二值化
Document Image
Table Understanding
Table Processing
Table Recognition
Image Binarization
遥感图像变化检测研究
学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
张世清
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  |  
浏览/下载:26/0
  |  
提交时间:2015/09/02
变化检测
合成孔径雷达
机器学习
纹理特征
Chang Detection
SAR
Machine Learning
Texture Feature
Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS - A case study in the upper reaches of Minjiang River, China
期刊论文
ECOLOGICAL MODELLING, 2006, 卷号: 192, 期号: 1-2, 页码: 175-187
作者:
Li, AN
;
Wang, AS
;
Liang, SL
;
Zhou, WC
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2015/07/20
eco-environment
vulnerability
spatial principal component analysis (SPCA)
remote sensing
GIS
A new algorithm of image segmentation for overlapping grain image (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Zhang X.
;
Jin G.
;
Sun X.
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  |  
浏览/下载:10/0
  |  
提交时间:2013/03/25
Image segmentation is primary issue in image processing
at the same time it is principal problem in low level vision in computer vision field. It is the key technology to process image analysis
image comprehend and image depict successfully. Aim at measurement of granularity size of nonmetal grain
a new algorithm of image segmentation and parameters calculation for overlapping grain image is studied. The hypostasis of this algorithm is present some new attributes of graph sequence from discrete attribute of graph
consequently achieve that pick up the geometrical characteristics from input graph
and new graph sequence which in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward
base on geometrical characters of point
image edge is transformed into serial edge
and on recombined serial image edge
based on direction vector definition of line and some additional restricted conditions
the segmentation twin-points are searched with
thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern
to realize calculation of area and granularity size of nonmetal grain. The inkling and uncertainty on selection of structure element which base on mathematical morphology are avoided in this algorithm
and image segmentation and parameters calculation are realized without changing grain's self statistical characters.
An edge extracting method of fuzzy thresholding value (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Gu R.
;
Zhu M.
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  |  
浏览/下载:13/0
  |  
提交时间:2013/03/25
This paper discusses image's object edge extracting of threshold value. First
this paper introduces fundamental principle of gray image object edge extracting
after discussing the influence of object edge image's gray scale distributing characteristic and choice of threshold value to character extracting and target identification
we bring forward a sort of method
which using object edge fuzzy taxonomy and maximum fuzzy entropy theory to auto choose threshold value in the case that membership function is given
then we have a test of threshold value segmentation to edge gray image in different contrast
the result indicates this method has preferable scene adaptive faculty.
A segment detection method based on improved Hough transform (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Han Q.-L.
;
Zhu M.
;
Yao Z.-J.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However
3. applying the standard Hough transform equation to every point of the input image edge
4. according to the local threshold
6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes
traditional Hough transform can only detect the lines
2. quantizing the parameter space
and extracting a group of maximums according to the global threshold
eliminating spurious peaks which are caused by the spreading effects
and will improve the precision of tracking.
cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations
Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information
as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately
5. fixing on the endpoints of the segments according to the dynamic clustering rule
which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image
parameter and line-segment spaces
X-ray absorption near-edge structure and photoelectron spectroscopy of single-walled carbon nanotubes modified by a HBr solution
期刊论文
CARBON, 2006, 卷号: 44, 期号: 5, 页码: 866
Zhong, J
;
Song, L
;
Wu, ZY
;
Xie, SS
;
Abbas, M
;
Ibrahim, K
;
Qian, HJ
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/09/23
FINE-STRUCTURE
RAMAN-SCATTERING
CHARGE-TRANSFER
NEXAFS
GRAPHITE
BROMINE
BUNDLES
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