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浏览/检索结果: 共9条,第1-9条 帮助

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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
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
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
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
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
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.  
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