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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 内容类型：会议论文    专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   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 An auto-focus algorithm of fast search based on combining rough and fine adjustment (EI CONFERENCE) 会议论文 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China Lin Z.; Liu X.; Zhang Y.; Zhang S. 收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25 A coarse and fine combined fast search and auto-focusing algorithm was suggested in this paper. This method can automatically search and find the focal plane by evaluating the image definition. The Krisch operator based edge energy function was used as the big-step coarse focusing  and then the wavelet transform based image definition evaluation function  which is sensitivity to the variation in image definition  was used to realize the small-step fine focusing in a narrow range. The un-uniform sampling function of the focusing area selection used in this method greatly reduces the workload and the required time for the data processing. The experimental results indicate that this algorithm can satisfy the requirement of the optical measure equipment for the image focusing. (2012) Trans Tech Publications.   Phase-laser ranging system based on digital signal processing for optoelectronics theodolite application (EI CONFERENCE) 会议论文 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China Liu Y.-S.; Wang L.-Q.; Su W.-X.; Wang M. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 In order to meet requirement of high accurate ranging  the laser ranging system is designed for optoelectronics theodolite application by this paper  based on digital signal processing. Variable modulating method is used to solve the antinomy between the measuring range and accuracy. Frequency mixing is adopted to reduce the frequency of the signal  which can lower the requirement for hardware. The high ranging accuracy is achieved by way of Fast Fourior Transform (FFT) using digital signal processor and error correcting factor. Experiment results indicate that using digital signal processing method can reduce the influence of surroundings and hardware system  and obtain high ranging accuracy. 2010 IEEE.   Semi-physical simulation of an optoelectronic tracking servo system based on C MEX S functions (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 Juan C.; Junhong Z. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 To the design of an optoelectronic tracking servo system  we test the method [1  not only the reasonability of the control algorithm should be considered  2]. The simulation results verify the theoretical analysis. Because C MEX S function has the features of fast execute speed  but the cost and time as well. It is necessary to establish the simulation model for the system. Applying the C MEX S functions  independently generated program  we can build the every independent digital control modules in MATLAB/SIMULINK for the optoelectronic tracking servo system. In the paper  directly download to the hardwires  we apply the C MEX S function to the design of the practical optoelectronic tracking servo system. For the speed  we can design and debug the digital control modules in MATLAB/SIMULINK and then transform and download directly to DSP processor. 2010 IEEE.  position loop control and TV delay compensations   Color videos' multichannel combination for bandwidth reduction and fast frequency domain processing (EI CONFERENCE) 会议论文 2nd International Workshop on Education Technology and Computer Science, ETCS 2010, March 6, 2010 - March 7, 2010, Wuhan, Hubei, China Li S.; Jing S.; Song Y.; Zhang B. 收藏  |  浏览/下载：12/0  |  提交时间：2013/03/25 The real color video consumes much transfer bandwidth and the resource of the hardware. A new approach is introduced to process the real color video images in real-time using color components combination to fit to the limited transmission bandwidth. The Y  U  V planes of video images are packed to construct a 2 dimensional complex array. Through the decomposition of frequency domain  the Y  U  V frequency can be got respectively by performing Fourier transform a time on the specific complex array. These frequencies can be filtered to generate the final filtered images. The experiment results show that the proposed algorithm is 3X speed compared to the traditional algorithm  and it reduces 1/3 bandwidth of video data stream. 2010 IEEE.   Detection of low contrast targets based on lifting scheme wavelet transform (EI CONFERENCE) 会议论文 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China Chen X.; Wang Y. 收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25 This paper present a fast algorithm for detection of low contrast objects by using wavelet filters based on lifting scheme. The advantage is robust to noise. According Swelden's  lifting wavelet filters are biorthogonal wavelet filters containing free parameters. We use reference image of targets to train the lifting terms  so that the learnt wavelet filters have the features of targets. Then applying such filters to the images including targets taken from camera system. We can detect the locations where the high frequency components are almost the same as those of the target image. 2009 IEEE.   The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Li S.; Zhang J.; Chen X.; Liang J.; Wang C. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 The author  Shangyu Li  engages in supervising and inspecting the quality of products. In soy sauce manufacturing  quality control of intermediate and final products by many components such as total nitrogen  saltless soluble solids  nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem  we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work  a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer  the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids  total nitrogen  total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen  0.913 and 1.215 for saltless soluble solids  0.855 and 0.199 nitrogen of amino acids  0.966 and 0.231 for total acid  respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.   Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Wu Y.-H.; Yu Q.-Y. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform  the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration  the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1  2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak  and it reduces processing time. Since the technique proposed uses all the image information  including all the white noise in the image especially  and it's hard to overcome the aliasing from noises  but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented  and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.