中国科学院机构知识库网格系统: 检索

Weighted data fusion algorithm in the application of visual measurement network system (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012, November 29, 2012 - November 30, 2012, Guangzhou, China
作者: Zhang Y.-c.; Zhou J.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

For the problem on the deviation of actual measurement values between different network positions of visual measurement network system so present the weighted data fusion algorithm. To distribute the weight coefficients according to the stability of eigenvector and fuse the coordinates finally get the ultimate expression of fusion estimate. The experiment results present the maximum absolute tolerance of the fusion results is 0.039mm via the weighted data fusion algorithm the maximum one via traditional data fusion algorithm of the center of point set is 0.056mm Repeatedly measure 50 times compared with the traditional algorithm proposed weighted data fusion algorithm has much better precision and better stability. (2013) Trans Tech Publications Switzerland.

A novel algorithm for action landmarks extraction (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Advanced Materials and Computer Science, ICAMCS 2012, December 27, 2012 - December 28, 2012, Xiamen, China
作者: Zhao J.

收藏 | 浏览/下载：15/0 | 提交时间：2013/03/25

In this work we present a new algorithm for extracting action landmarks from proposition landmarks graph. Compared to published approaches the action landmarks extraction algorithm we proposed can find more disjunctive action landmarks and single action landmarks. We illustrate our ideas with experiments among benchmark domains. The experiments show that the new algorithm is competitive with traditional algorithm for finding action landmarks from relaxed plan graph. (2013) Trans Tech Publications Switzerland.

Image matching using a bat algorithm with mutation (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Mechatronic Systems and Automation Systems, MSAS 2012, July 21, 2012 - July 21, 2012, Wuhan, China
作者: Zhang J.; Wang G.; Zhang J.; Zhang J.

收藏 | 浏览/下载：38/0 | 提交时间：2013/03/25

Due to shortcoming of traditional image matching for computing the fitness for every pixel in the searching space a new bat algorithm with mutation (BAM) is proposed to solve image matching problem and a modification is applied to mutate between bats during the process of the new solutions updating. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BA. The realization procedure for this improved meta-heuristic approach BAM is also presented. To prove the performance of this proposed meta-heuristic method BAM is compared with BA and other population-based optimization methods DE and SGA. The experiment shows that the proposed approach is more effective and feasible in image matching than the other model. (2012) Trans Tech Publications Switzerland.

Destriping method using lifting wavelet transform of remote sensing image (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者: He B.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

Based on the characteristic of striping noise in remote sensing images a new destriping noise technique for the improved multi-threshold method using lifting wavelet transform applied to remote sensing imagery is presented in this letter. Have used the lifting wavelet decomposition algorithm the thresholds are determined by corresponding wavelet coefficients in every scale. Remote sensing imagery is so large that the algorithm must be fast and effective. The lifting wavelet transform is easily realized and inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the method with some traditional destriping methods both by visual inspection and by appropriate indexes of quality of the denoised images. From the comparison we can see that the adaptive threshold method can preserve the spectral characteristic of the images while effectively remove striping noise and it did better than the existed ones. 2010 IEEE.

Design and image restoration research of a cubic-phase-plate system (EI CONFERENCE) 会议论文 OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, April 26, 2010 - April 29, 2010, Dalian, China
作者: Zhang J.; Zhang J.; Zhang J.; Shi G.; Zhang X.

收藏 | 浏览/下载：25/0 | 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.

The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
作者: Liu J.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

In order to solve the registration problem of different source image existed on aerial image fusion algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed high accuracy and high reliability. Basically with little restriction of gray level properties a new alignment measure is applied which can efficiently measure the image registration extent and tolerate noise well. Even more the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that the study attains the registration accuracy of pixel level and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms and the registration result has higher accuracy and stability which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect and is easy for application and very suitable for engineering use. 2010 IEEE.

White-light spectral scanning interferometry for surface measurement system (EI CONFERENCE) 会议论文 OAI收割
6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China
作者: Wang C.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

The paper introduces the white-light spectral scanning interferometry for surface measurement. This interferometry can be used to measure the roughness of both smooth surfaces and those with large step heights. This real-time surface measurement can be achieved using acousto-optic tuneable filtering (AOTF) technique without mechanical scanning. At first the structure and principle of this interferometry is introduced. Then the algorithm of the surface roughness measurement is proposed. What's more the experiment with standard test piece is conducted. Compared with the traditional laser-light interferometry the data shows that the proposed method has a higher accuracy which is proved to be nano-scale. A conclusion is given at last in which the superiorities and the limitations of the proposed system were discussed. 2010 SPIE.

Algorithm research of target acquisition for TV tracking system based on Sliding Mode Control (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Wu P.; Gao H.-B.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

Target acquisition algorithm based on Sliding Mode Control (SMC) is proposed for TV tracking system. Target acquisition capability and performance are both improved attributing to overcoming the deficiencies of traditional linear control. In this paper sliding surface with variable coefficient and continuous control law without switching is introduced in the SMC controller design. The improved SMC shows better performance compared to basic SMC and full-field acquisition with rapid response and non-overshoot is achieved. The simulation of acquisition shows that the system can acquire a target passing through the view field of 1.53 in the width with an uniform speed of 15 /s while the whole process is in a short settling time and chattering-free and the reaching segment has no overshoot. 2010 IEEE.

Grayscale control algorithm based on optokinetic nystagmus (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Chen Y.-S.; Gao H.-B.; Su W.-X.; Wang M.

收藏 | 浏览/下载：19/0 | 提交时间：2013/03/25

In order to reduce trailing phenomenon for moving image in FPD (Flat Panel Display) Then Finally grayscale control algorithm is proposed that simulates CRT (Cathode Ray Tube) grayscale rendition process. First based on algorithm derivation implemented main program with VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) is presented and specific rendition process is described. Experimental results indicate image quality is evidently improved and proposed algorithm reduces trailing phenomenon nearly 90% after the reason of trailing phenomenon for moving image is introduced algorithm realization steps and compared experiment results of traditional and proposed FPD grayscale control algorithm are discussed when FPD displays moving image work processes of human eyes are illuminated and grayscale rendition of a pixel is obtained according with eyes reflection mechanism and programs can correctly implement on circuit board. 2010 IEEE. when seeing moving image on CRT and FPD

An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文 OAI收割
2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China
作者: Li S.

收藏 | 浏览/下载：31/0 | 提交时间：2013/03/25

In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block sums the gray value of each R-block pixel encodes the R-block according to the gray value distribution of R-block with the adjacent R-block and matches by step between the template and each search sub-image. Then fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise and it also has the stability of small-angle rotation. 2009 IEEE.