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
长春光学精密机械与物... [4]
遥感与数字地球研究所 [2]
沈阳自动化研究所 [2]
合肥物质科学研究院 [1]
采集方式
OAI收割 [9]
_filter
_filter
_filter
筛选
浏览/检索结果:
共9条,第1-9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
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
Design concept of intelligent integrated control system for neutral beam injection
期刊论文
OAI收割
PLASMA PHYSICS AND CONTROLLED FUSION, 2024, 卷号: 66
作者:
Gu, Yu
;
Hu, Chundong
;
Li, Yang
;
Zhao, Yuanzhe
;
Cui, Qinglong
|
收藏
|
浏览/下载:7/0
|
提交时间:2024/11/20
fusion experiments
ICS
IOT
intelligent control
Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE)
会议论文
OAI收割
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
作者:
Liu Y.
;
Liu Y.
;
Liu Y.
收藏
|
浏览/下载:38/0
|
提交时间:2013/03/25
Image registration is a key technique in pattern recognition and image processing
and it is widely used in many application areas such as computer vision
remote sensing
image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly
feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then
pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then
the well match points are used to estimate the best affine transform parameters by least squares minimization. At last
the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.
;
Wang M.-J.
;
Han G.-L.
收藏
|
浏览/下载:78/0
|
提交时间:2013/03/25
Being an efficient method of information fusion
image fusion has been used in many fields such as machine vision
medical diagnosis
military applications and remote sensing.In this paper
Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing
including segmentation
target recognition et al.
and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First
the two original images are decomposed by wavelet transform. Then
based on the PCNN
a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength
so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So
the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment
the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range
which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore
by this algorithm
the threshold adjusting constant is estimated by appointed iteration number. Furthermore
In order to sufficient reflect order of the firing time
the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved
each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules
the experiments upon Multi-focus image are done. Moreover
comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
The application of improved SIFT algorithm in high resolution SAR image matching in mountain areas
会议论文
OAI收割
2011 International Symposium on Image and Data Fusion, ISIDF 2011,, Tengchong, Yunnan, China, August 9, 2011 - August 11,2011
Yu, Xiaoping
;
Liu, Tong
;
Li, Pingxiang
;
Huang, Guoman
收藏
|
浏览/下载:19/0
|
提交时间:2014/12/07
Image matching
Algorithms
Experiments
Image fusion
Information fusion
Landforms
Mathematical transformations
Surveys
Synthetic aperture radar
A height error compensation method based on contact mode AFM
会议论文
OAI收割
2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, Jinan, China, July 7- 9, 2010
作者:
Wei YJ(魏阳杰)
;
Wu CD(吴成东)
;
Dong ZL(董再励)
收藏
|
浏览/下载:19/0
|
提交时间:2012/06/06
Atomic force microscopy
Atoms
Experiments
Information fusion
Intelligent control
Microscopes
Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:
Wang Y.
;
Li J.
;
Li J.
;
Li J.
;
Wang Y.
收藏
|
浏览/下载:27/0
|
提交时间:2013/03/25
This paper proposes a new restoration method
only using the single image information
combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols
such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images
and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods
our restoration technique is not only independent on predicted structure
distributions of scene reflectance
or detailed knowledge about the particular weather condition
but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.
An efficient color transfer method for fusion of multiband nightvision images (EI CONFERENCE)
会议论文
OAI收割
2009 International Conference on Information Engineering and Computer Science, ICIECS 2009, December 19, 2009 - December 20, 2009, Wuhan, China
作者:
Xu S.
收藏
|
浏览/下载:21/0
|
提交时间:2013/03/25
We present a color transfer method
which is designed to give fused multiband nighttime imagery a natural daytime color appearance in a simple and efficient way. Instead of using traditional nonlinear la space
the proposed method transfers the color distribution of the target image (daylight color image) to the source image (fused multiband nighttime imagery) in a linear color space named ICBCR. The ICBCR transformation is simpler than the la conversion
moreover
the IC BCR space is easily extended to image fusion. Our experiments on infrared and visual images show that the ICBC R based color transfer method works surprisingly well for transferring natural color characteristics of daylight color images to false color fused nighttime imagery. 2009 IEEE.
Underwater vehicle motion parameters estimation simulation and experiment based on monocular vision and low cost inertial measurement unit
会议论文
OAI收割
19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE, Osaka, Japan, June 21-26, 2009
作者:
Li Q(李强)
;
Zhang QF(张奇峰)
;
Wang XH(王晓辉)
收藏
|
浏览/下载:16/0
|
提交时间:2012/06/06
Air filters
Autonomous underwater vehicles
Calibration
Data fusion
Experiments
Inertial navigation systems
Information fusion
Motion estimation
Nonlinear analysis
Nonlinear filtering
Submersibles
Improved best tradeoff for high-resolution image fusion based on spectral reflection function
会议论文
OAI收割
International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008
Wang, Zhongwu
;
Zhao, Zhongming
收藏
|
浏览/下载:26/0
|
提交时间:2014/12/07
This paper extended the best tradeoff fast intensity-hue-saturation (BTFIHS) fusion to a more general model. Firstly
based-on the methods proposed by previous researches
we integrated injecting strategy of spatial detail information into the fusion model and also adopted the idea of BTFIHS to keep the intensity unchanged with the corresponding pixel in panchromatic (PAN) image
while the hue and saturation of every pixel using BTFIHS were equal to them using tradeoff fast intensity-hue-saturation (TFIHS). Then we got a general formula of the improved best tradeoff for high-resolution image fusion based-on getting injecting parameter by spectral reflection function (SRF). At last
several experiments were carried on to analysis and discuss the quality of the new methods compared with their originals. Results show that the new method could yield a "true" high-resolution multispectral (MS) image
with vast improvement in blue band and nearly 3.3% improvement in Q4 for all bands. 2008 SPIE.
首页
上一页
1
下一页
末页