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自动化研究所 [3]
长春光学精密机械与物... [1]
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沈阳自动化研究所 [1]
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OAI收割 [6]
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学位论文 [4]
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Physics [1]
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网络图像中合成文本检测及版面分割方法研究
学位论文
OAI收割
工学博士, 北京: 中国科学院研究生院, 2016
作者:
陈凯
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2016/07/14
合成文本检测
局部对比度分割
多方向文本行提取
条件随机场
版面分割
背景矩形分析
基于立体视觉的室外非结构化环境障碍物检测方法研究
学位论文
OAI收割
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2008
作者:
彭军舰
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2010/11/29
障碍物检测
室外非结构化环境
视差投影图
视差图
Principle and realization of segmenting contour series algorithm in reverse engineering based on X-ray computerized tomography
期刊论文
OAI收割
HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2007, 卷号: 31, 期号: 1, 页码: #REF!
作者:
Wang YF(王燕芳)
;
Liu L(刘力)
;
Dan BC(单保慈)
;
Yan YL(闫永廉)
;
Tang XW(唐孝威)
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2016/04/12
X-ray CT
reverse engineering
contour series segment
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE)
会议论文
OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.
;
Ma D.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task
for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type
the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP
but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly
we use frame grabber to capture the 4-bar target image data. Then according to image gray scale
we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets
along with known target visibility
are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm
demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
基于形变模型的医学影像分割的研究与应用
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2003
作者:
朱付平
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2015/09/02
医学影像分割
参数形变模型
几何形变模型
Level Set方法
灌注成像
医学影像处理与分析
分水岭方法
Fast Marching方法
Medical Image Segmentation
Parametric Deformable Model
Geometric Deformable Model
Level Set Method
Perfusion Imaging
Medical Ima
医学影像处理与分析中分割方法的研究及应用
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2002
作者:
林瑶
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2015/09/02
医学图像处理与分析
图像分割
模糊连接度
纹理特征
活动轮廓模型
形变模型
Live wire算法
Watershed
ACID
Medical Image Process and Analysis
Image Segmentation
Fuzzy Connectedness
Texture Feature
Active Contour Model
Deformable Model