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	Helix Matrix Transformation Combined With Convolutional Neural Network Algorithm for Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry-Based Bacterial Identification 期刊论文 OAI收割 FRONTIERS IN MICROBIOLOGY, 2020, 卷号: 11, 页码: 10 作者: Ling, Jin; Li, Gaomin; Shao, Hong; Wang, Hong; Yin, Hongrui \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/12/24 matrix-assisted laser desorption ionization-time of flight mass spectrometry bacterial identification helix matrix transformation convolutional neural network algorithm study
	Image Reconstruction for ECT Based on Extended Sensitivity Matrix 期刊论文 OAI收割 IEEE SENSORS JOURNAL, 2016, 卷号: 16, 期号: 8, 页码: 2466-2476 作者: Ye, Jiamin; Mao, Mingxu; Wang, Haigang; Yang, Wuqiang 收藏 \| 浏览/下载：42/0 \| 提交时间：2016/10/10 Electrical capacitance tomography iterative algorithm extended sensitivity matrix numerical simulation experimental study
	Clinical and radiographic predictors in diagnosing sputum smear-negative pulmonary tuberculosis in HIV-negative patients: a cross-sectional study in China 期刊论文 OAI收割 CHINESE MEDICAL JOURNAL, 2013, 卷号: 126, 期号: 19, 页码: 3662-3667 作者: Li Xinxu; Jiang Shiwen; Zhang Hui; Jing Kuanhe; Wang Li \| 收藏 \| 浏览/下载：7/0 \| 提交时间：2021/02/26 ALGORITHM RISK validation study tuberculosis smear negative pulmonary/radiography
	Implementation of a fast simulation algorithm for terrain based on dynamic LOD (EI CONFERENCE) 会议论文 OAI收割 IEEE 2011 10th International Conference on Electronic Measurement and Instruments, ICEMI 2011, August 16, 2011 - August 18, 2011, Chengdu, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 In-depth study and explore dynamic quad tree rendering of large-scale terrain. Investigated the problems which was urgently to be solved about quad tree. Studied the features and application of dynamic quad tree algorithm and static quad tree algorithm. Analyze and explore the problems about quad tree construction data storage that is significant in modeling removing of the grid back and elimination of T-type fracture. In this study an algorithm based on storage array was proposed on the basis of the previous research to eliminate T-type fracture. The results showed that the new algorithm not only enhance the streamline effect but also increased the rendering speed in the large-scale virtual terrain rendering process. The draw rate was enhanced from 8-10 frames/s up to 20-23 frames/s. 2011 IEEE.
	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：14/0 \| 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.
	Development of the adjoint model of a canopy radiative transfer model for sensitivity study and inversion of leaf area index SCI/SSCI论文 OAI收割 2008 Qin J.; Liang S. L.; Li X. W.; Wang J. D. 收藏 \| 浏览/下载：17/0 \| 提交时间：2012/06/08 adjoint model automatic differentiation inversion leaf area index (LAI) radiative transfer sensitivity study trust region method land-surface imagery trust-region method automatic differentiation atmospheric correction reflectance spectra fpar algorithm validation vegetation simulation satellite
	CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang J.-L.; Wang J.-L.; Li D.-Y.; Wang Y.-P. 收藏 \| 浏览/下载：12/0 \| 提交时间：2013/03/25 In the procedure of computed radiography imaging we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail the author think that the major two noises are Gaussian white noise and Poisson noise. Then the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images a multiscale image filtering algorithm which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM according to scale size and achieve the experiments as well as the comparison with other denoising methods were presented at last.
	Wavelet-fractal based compression of ophthalmic image (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Xiu-Ying Z.; Lin-Pei Z. 收藏 \| 浏览/下载：14/0 \| 提交时间：2013/03/25 This study is designed to determine the degree and methods of digital image compression to produce ophthalmic images of sufficient quality for transmission and diagnosis. Fractal based compression techniques which provide a large compression ratio for grayscale images have been reported in the literature. Fractal coding is based on the fractal theory of iterated transformations. But it's searching and mapping algorithm cannot address the need of real-time. To improve the real-time performance of the algorithm we use wavelet transforms to decompose images. The wavelet transform is a natural tool for analyzing fractal block coders since wavelet bases possess the same type of dyadic self-similarity that fractal coders seek to exploit. We propose a method of fractal coding the weighted wavelet subtree. Experimented results show that the improved hybrid image can improve the PSNR of the rebuild image at the same compression ratio.