中国科学院机构知识库网格系统: 检索

Structural optimization of measurement matrix in image reconstruction based on compressed sensing 会议论文 OAI收割
作者: Ziran, Wei; Huachuang, Wang; Jianlin, Zhang

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收藏 | 浏览/下载：40/0 | 提交时间：2018/12/20

Compressed sensing - Image compression - Image enhancement - Image processing - Matrix algebra - Number theory - Signal reconstruction - Signal to noise ratio - Structural optimization

The shape edge measure of automobile airbag based on image processing (EI CONFERENCE) 会议论文 OAI收割
2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012, October 18, 2012 - October 20, 2012, Nanjing, China
作者: Li Y.; Wang Z.; Wang Z.; Li Y.; Li Y.

收藏 | 浏览/下载：34/0 | 提交时间：2013/03/25

At present micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD and then it is sent to the computer to be processed and segmented. The edge of image is extracted through Canny edge detection algorithm in order to acquire shape edge of airbag in this paper and the image similarity degree are calculated to provide the information of matching in the template matching process. Finally the comprehensive test shape edge of airbag is realized. The experimental results show that the detection method is effective feasible intuitive and clear. 2012 IEEE.

Laser pulse coded signal frequency measuring device based on DSP and CPLD (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, May 24, 2011 - May 26, 2011, Beijing, China
作者: Zhang H.-B.; Wang T.-F.; Guo R.-H.; Li Y.

收藏 | 浏览/下载：38/0 | 提交时间：2013/03/25

Laser pulse code is an anti-jamming measures used in semi-active laser guided weapons. On account of the laser-guided signals adopting pulse coding mode and the weak signal processing it need complex calculations in the frequency measurement process according to the laser pulse code signal time correlation to meet the request in optoelectronic countermeasures in semi-active laser guided weapons. To ensure accurately completing frequency measurement in a short time it needed to carry out self-related process with the pulse arrival time series composed of pulse arrival time calculate the signal repetition period and then identify the letter type to achieve signal decoding from determining the time value number and rank number in a signal cycle by Using CPLD and DSP for signal processing chip designing a laser-guided signal frequency measurement in the pulse frequency measurement device improving the signal processing capability through the appropriate software algorithms. In this article we introduced the principle of frequency measurement of the device described the hardware components of the device the system works and software analyzed the impact of some system factors on the accuracy of the measurement. The experimental results indicated that this system improve the accuracy of the measurement under the premise of volume real-time anti-interference low power of the laser pulse frequency measuring device. The practicality of the design reliability has been demonstrated from the experimental point of view.

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.

Designing and development of multi-DSP real-time image processing system based on FPGA (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Computer Science and Network Technology, ICCSNT 2011, December 24, 2011 - December 26, 2011, Harbin, China
Wei H.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

To improve the image processing system of resolution capability and reliability image processing system in a growing number of multi-sensor model. In this mode the use of the current main stream single DSP + FPGA hardware architecture for image processing algorithms have already unable to meet the operational requirements of real-time. This paper proposed a new hardware architecture that is the three DSPs based on FPGA. With the traditional master-slave architectures is different three DSP's external interfaces are connected with FPGA and other peripheral interfaces are connected to the FPGA. In the architecture DSP is in the same position three and FPGA flow control for data management and other function to achieve. This connection has a strong restructuring and expansion software development and more flexible. 2011 IEEE.

Auto-detection system of photoelectric encoder based on DSP (EI CONFERENCE) 会议论文 OAI收割
2010 2nd International Conference on Industrial and Information Systems, IIS 2010, July 10, 2010 - July 11, 2010, Dalian, China
作者: Wan Q.-H.; Qi L.-L.; Liang L.-H.; Lu X.-R.; Du Y.-C.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

To improve the automatic detection efficiency of photoelectric encoder an auto-detection system of photoelectric encoder is designed using DSP (TMS320F2812) as the core device. A 21-bit high accuracy photoelectric encoder is used as the angle standard. It is connected to the detected photoelectric encoder coaxially. They will rotate synchronously under the driving of electric motor. Data acquisition and processing system collects the angular data of the two photoelectric encoders at the same angular position and calculates the angular error of detected photoelectric encoder. Then the data is put into computer. The computer will display the data error. The result of experiment shows that the system could detect encoder whose bit-number below 19 the detecting person could be reduced to one and the detecting speed could be increased to 8-10 times. 2010 IEEE.

Attitude determination of small, dim and high-speed targets based on multi-CMOS intersecting system (EI CONFERENCE) 会议论文 OAI收割
2nd International Conference on Information Science and Engineering, ICISE2010, December 4, 2010 - December 6, 2010, Hangzhou, China
作者: Li M.; Zhao L.; Wang J.

收藏 | 浏览/下载：34/0 | 提交时间：2013/03/25

In order to measure attitude of small dim and high-speed targets in shooting range intersecting system based on multiple high-speed CMOS cameras was introduced in this paper. CMOS cameras were laid near from objects for small size using multiple CMOS cameras to compose intersecting system for big number of targets tested and selecting CMOS camera between CMOS and CCD for low cost and considering damage to measurement equipment of objects tested. Pitch angle and yaw angle were measured by extracting axle wire through image processing image sequences were obtained from cameras laying on two sides. Velocity of objects was calculated by least square curve-fitting acquiring coordinate of centroid on image received by CMOS camera laying below effective viewing field. One CMOS camera was laid on right ahead for measuring roll angle. Station mode introduced in this paper has virtue of low cost and free extending. 2010 IEEE.

An ERP study on shift of spatial attention resulting from number processing 期刊论文 OAI收割
PROGRESS IN NATURAL SCIENCE, 2007, 卷号: 17, 期号: 13, 页码: 93-98
作者: Luo Wenbo; Luo Yuejia; Y. J. Luo

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收藏 | 浏览/下载：22/0 | 提交时间：2011/08/22

number processing visual spatial attention the mental number line ERP

High-accuracy real-time automatic thresholding for centroid tracker (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Zhang Y.

收藏 | 浏览/下载：37/0 | 提交时间：2013/03/25

Many of the video image trackers today use the centroid as the tracking point. In engineering we can get several key pairs of peaks which can include the target and the background around it and use the method of Otsu to get intensity thresholds from them. According to the thresholds it give a great help for us to get a glancing size a target's centroid is computed from a binary image to reduce the processing time. Hence thresholding of gray level image to binary image is a decisive step in centroid tracking. How to choose the feat thresholds in clutter is still an intractability problem unsolved today. This paper introduces a high-accuracy real-time automatic thresholding method for centroid tracker. It works well for variety types of target tracking in clutter. The core of this method is to get the entire information contained in the histogram we can gain the binary image and get the centroid from it. To track the target so that we can compare the size of the object in the current frame with the former. If the change is little such as the number of the peaks the paper also suggests subjoining an eyeshot-window we consider the object has been tracked well. Otherwise their height just like our eyes focus on a target if the change is bigger than usual position and other properties in the histogram. Combine with this histogram analysis we will not miss it unless it is out of our eyeshot we should analyze the inflection in the histogram to find out what happened to the object. In general the impression will help us to extract the target in clutter and track it and we will wait its emergence since it has been covered. To obtain the impression what we have to do is turning the analysis into codes for the tracker to determine a feat threshold. The paper will show the steps in detail. The paper also discusses the hardware architecture which can meet the speed requirement. the paper offers a idea comes from the method of Snakes

Parallel optical negabinary signed-digit computing: algorithm and optical implementation 期刊论文 OAI收割
opt. eng., 1999, 卷号: 38, 期号: 3, 页码: 403, 414
Li GQ; Qian F; Ruan H; Liu L

收藏 | 浏览/下载：1619/175 | 提交时间：2009/09/18

optical computing parallel processing number system number conversion optical logic-based data processing