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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 Employment of the appropriate range of sawtooth-shaped-function illumination intensity to improve the image quality 期刊论文 OPTIK, 2018, 卷号: 175, 页码: 189-196 作者:  Yu, Jianping;  Li, Gang;  Wang, Shaohui;  Lin, Ling 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/11 Light intensity range  Sawtooth-shaped-Function  Gray-scale resolution  Medical image quality  Signal-to-noise ratio   A line mapping based automatic registration algorithm of infrared and visible images 会议论文 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕) 收藏  |  浏览/下载：24/0  |  提交时间：2013/12/26 There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.   CCD evaluation for estimating measurement precision in lateral shearing interferometry 会议论文 作者:  Liu Bingcai;  Li Bing;  Tian Ailing;  Li Baopeng 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/10 gray scale  shearing interferometry  pixel resolution  simulation   A novel miniature absolute metal rotary encoder based on Single-track Periodic Gray Code (EI CONFERENCE) 会议论文 2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012, December 8, 2012 - December 10, 2012, Harbin, Heilongjiang, China Wan Q.-H.; Wang Y.-Y.; Sun Y.; Yang S.-W. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 In order to improve the resolution and enhance the impact resistance and vibration resistance of encoders  a novel absolute metal rotary encoder based on Single-track Periodic Gray Code is presented. The configuration and working principle of the encoder is introduced  and then the metal code disc which can realize full scale absolute encoding on one single track and its corresponding metal slit disc are proposed. Finally  the data acquisition and processing system based on FPGA of encoder is presented. The resolution of the encoder can reach 5.27through electronic subdivision and calibration between the precision code and the coarse code with its volume only 4840mm. The encoder has some advantages such as small volume  low cost  high resolution and strong impact resistance. 2012 IEEE.   Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文 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：34/0  |  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.   High resolution gray-scale modulation method based on linear superposition for LED displays (EI CONFERENCE) 会议论文 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011, July 30, 2011 - July 31, 2011, Singapore, Singapore Feng Y.; Xu X.; Miao C.; Ding T. 收藏  |  浏览/下载：10/0  |  提交时间：2013/03/25 This paper proceeds a new method for gray-scale modulation  has a deep research on weighted linear superposition principle of pulse width sequences  builds a basic equation of scanning drive  analyzes constraint relations between compound modes of pulse sequences and gray-scale resolution  pixel driving efficiency  data shifting clock and refresh rate  etc and optimal methods  and lists parameter optimal values in different scanning ways according to real needs of LED displays  resulting in realization of gray-scale modulation in 14bit to 18 bit resolution. 2011 IEEE.