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Design of optical electronic watch system based on multi-sensor 会议论文
3rd International Conference on Advanced Engineering Materials and Technology, AEMT 2013, May 11, 2013 - May 12, 2013, Zhangjiajie, China
Wu C.; Lu J. F.; He B. G.
收藏  |  浏览/下载：19/0  |  提交时间：2014/05/15
Multi-spectral image fusion based on the characteristic of imaging system 会议论文
2013 IEEE International Conference on Information and Automation, ICIA 2013, August 26, 2013 - August 28, 2013, Yinchuan, China
Wang J.; Song K.; He X.
收藏  |  浏览/下载：20/0  |  提交时间：2014/05/15
A small thickness measurement system based on PSD and FPGA (EI CONFERENCE) 会议论文
3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011, January 6, 2011 - January 7, 2011, Shanghai, China
Guo J.; He X.; Wei Z.; Wu Y.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
Considering that the requirement of industrial manufacture  An AT89S51 singlechip works as the core processor of the system. By two laser triangulation  a small thickness measurement system based on PSD and FPGA is presented. It takes S3931 PSD of one dimension as position detection device  A FPGA produces logic control signals for the whole system  the small displacement is converted to differential voltages  which is made by Hamamatsu in Japan  and after amplification and A/D transformation  8-bit parallel data is send to singlechip from FPGA by external interrupts  and the final calculation results output to the LCD display module. After digital micro meter calibration  we get the small thickness. Experiments show that the detection accuracy of the system is not less than 10um.  
A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Lu J.; He B.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
In terms of large field view and multi-channel TDICCD remote sensing images  previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration  and their noise immunity and robustness is not high. For that  this paper presents a more accurate and faster method  iterative pixel interpolation and surface fitting method. Firstly  the method uses the some overlapping pixels between multi-channel images. Secondly  the proposed technique  which is based on the maximization of the correlation coefficient function  combines an efficient pixel-moving interpolation scheme with surface fitting  which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally  the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images  the method is accurate and fast  with greatly high stability  noise immunity and robustness. 2010 IEEE.  
A new research of sub-pixel level accuracy of TDICCD remote sensing image registration (EI CONFERENCE) 会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Lu J.; He B.; Cong Y.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
In the field of remote sensing imaging  TDICCD remote sensing images have a lot of their own characteristics  such as high-resolution  large amount of information  less overlapping parts of pixels  additional image blurring etc. Therefore  there exist many difficulties  especially in terms of high-accuracy registration of pairs of images. For that  this paper presents two new pixel interpolation method for sub-pixel level registering images that allows for scaling  translation and rotation. The proposed technique  which is based on the maximization of the correlation coefficient function  combines an efficient pixel-moving interpolation scheme with surface fitting  which greatly reduces the overall computational cost. The accuracy of the algorithm is evaluated by calculating correlation coefficient of couples of points belonging to images transformed with preset factors and also comparing it to other sorts of methods. The experiment results show that the accuracy of registration reaches 0.01 pixels. 2010 IEEE.  
Design and image restoration research of a cubic-phase-plate system (EI CONFERENCE) 会议论文
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, April 26, 2010 - April 29, 2010, Dalian, China
Zhang X.; Zhang X.; Shi G.; Zhang J.; He F.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
Wave-front coding technology is a novel jointly optical and digital imaging technology which can greatly extend the depth of focus of optical systems. The image restoration process is an important part of wave-front coding technology. Using wave-front coding makes the modulation transfer function(MTF) values of the optical systems change little over a range of several times the depth of focus  which means the system MTF is quite insensitive to defocus  and there is no zero in the passband. So we can design a single filter for the restoration of images in different defocus positions. However  it's hard to avoid noise during image acquisition and transmission processes. These noises will be amplified in the image restoration  especially in the high frequency part when the MTF drop is relatively low. The restoration process significantly reduces the system signal to noise ratio this way. Aimed at the problem of noise amplification  a new algorithm was proposed which incorporated wavelet denoising into the iterative steps of Lucy-Richardson algorithm. Better restoration results were obtained through the new algorithm  effectively solving the noise amplification problem of original LR algorithm. Two sets of identical triplet imaging systems were designed  in one of which the cubic-phase-plate was added. Imaging experiments of the manufactured systems were carried  and the images of a traditional system and a wave-front coded system before and after decoding were compared. The results show that the designed wave-front coded system can extend the depth of focus by 40 times compared with the traditional system while maintaining the light flux and the image plane resolution. 2010 Copyright SPIE - The International Society for Optical Engineering.  
A New Accurate and Fast Algorithm of Sub-Pixel Image Registration 会议论文
2010
Lu J. B.; He B.
收藏  |  浏览/下载：1/0  |  提交时间：2013/03/28
Design and Image Restoration Research of a Cubic-phase-plate System 会议论文
2010
Zhang X.; Zhang X.; Shi G. W.; Zhang J. P.; He F. Y.
收藏  |  浏览/下载：7/0  |  提交时间：2013/03/28
Spaceborne Laser Interconnect Technology based on Human Bionics 会议论文
2009
He X. J.; Jin G. A.; Wang J. L.
收藏  |  浏览/下载：9/0  |  提交时间：2013/03/28
Real-time adjusting of yaw angle of space camera based on General Image-Quality Equation (EI CONFERENCE) 会议论文
2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China
Wang J.; He X.; Xu S.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
A Strategy of Real-Time Adjusting of Yaw Angle (SRTAYA) of space camera was proposed base on General Image-Quality Equation (GIQE). During space camera imaging  yaw angle which is caused by rotation of the earth and the gesture changing of satellite impacts integral aspect of TDI (Time Delay and Integration) CCD (Charge Couple Device)  so that the image quality degrades. For extending imaging time of space camera and enhancing image quality  yaw angle must be adjusted. The descending value of GIQE reflects the degrading quantity of image quality. The SRTAYA calculated an acceptable augmenting value of yaw angle according with a specific value of GIQE  which the degrading of image quality can't be neglected no longer. The example which actualized a practical orbit of satellite illuminated that the SRTAYA could limit the value of yaw angle less than 318.45". 2009 IEEE.  

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