中国科学院机构知识库网格系统: 检索

High-Accurate Quantitative Phase Imaging Based on the Transport of Intensity Equation and Wavelet Transform 期刊论文 OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72
作者: Fan, Chen; Zhao, Hong; Zhao, Zixin; Li, Junxiang; Du, Yijun

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收藏 | 浏览/下载：26/0 | 提交时间：2023/08/01

Estimation Wavelet transforms Lighting Imaging Image resolution Fitting Mathematical models Computational imaging phase retrieval quantitative phase imaging (QPI) transport of intensity equation (TIE) wavelet transform (WT)

Dynamical stochastic resonance for nonuniform illumination image enhancement 期刊论文 OAI收割
IET Image Processing, 2018, 卷号: 12, 期号: 12, 页码: 2147-2152
作者: Zhang, Yongbin; Liu, Hongjun; Huang, Nan; Wang, Zhaolu

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收藏 | 浏览/下载：53/0 | 提交时间：2018/12/18

Image Enhancement Image Fusion Stochastic Processes Iterative Methods Differential Equations Brightness Dynamical Stochastic Resonance Nonuniform Illumination Image Enhancement Dark Tones Low-contrast Image Enhancement Nonlinear Iteration Monostable Langevin Equation Iteration Parameters Intensity Distribution Visibility Balance Naturalness Balance Illumination Compensation Component Computational Time No-reference Perceptual Quality Assessment Lightness Order Error Low-computational Complexity

Numerical Prediction of Film Cooling Effectiveness over Flat Plate using Variable Turbulent Prandtl Number Closures 期刊论文 OAI收割
2016
作者: Ochrymiuk, T.

收藏 | 浏览/下载：29/0 | 提交时间：2017/05/27

turbulent heat flux two-equation model turbulent Prandtl number film cooling compound-angle injection crystal image method gas-turbine blade

A Nonlinear Adaptive Level Set for Image Segmentation 期刊论文 OAI收割
ieee transactions on cybernetics, 2014, 卷号: 44, 期号: 3, 页码: 418-428
作者: Wang, Bin; Gao, Xinbo; Tao, Dacheng; Li, Xuelong

收藏 | 浏览/下载：33/0 | 提交时间：2015/03/18

Active contour Bayesian criterion finite difference image segmentation level set partial differential equation

Denoising method of X-ray phase contrast DR image for TRISO-coated fuel particles 期刊论文 OAI收割
PARTICUOLOGY, 2013, 卷号: 11, 期号: 6, 页码: 695-702
作者: Yang, Min; Zhang, Jianhai; Meng, Fanyong; Song, Sung-Jin; Li, Xingdong

收藏 | 浏览/下载：35/0 | 提交时间：2015/05/05

TRISO-coated fuel particle X-ray phase contrast imaging Image denoising Partial differential equation Non-local means

Non-local means theory based Perona-Malik model for image denosing 期刊论文 OAI收割
NEUROCOMPUTING, 2013, 卷号: 120, 期号: 0, 页码: 262-267
作者: Yang, Min; Liang, Jingkun; Zhang, Jianhai; Gao, Haidong; Meng, Fanyong

收藏 | 浏览/下载：31/0 | 提交时间：2015/05/05

Image denoising Non-local means Partial Differential Equation Texture detection

Application of splitting scheme and multigrid method for TV-Stokes denoising 期刊论文 OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2011, 卷号: 54, 期号: 4, 页码: 745-756
作者: Chang QianShun; Tai XueCheng; Xing Lili

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收藏 | 浏览/下载：21/0 | 提交时间：2018/07/30

image denoising total variation Stokes equation algebraic multigrid method

A Relay Level Set Method for Automatic Image Segmentation 期刊论文 OAI收割
ieee transactions on systems man and cybernetics part b-cybernetics, 2011, 卷号: 41, 期号: 2, 页码: 518-525
作者: Gao, Xinbo; Wang, Bin; Tao, Dacheng; Li, Xuelong

收藏 | 浏览/下载：217/70 | 提交时间：2011/01/12

Energy minimization finite difference geometric active contour image segmentation partial differential equation (PDE) relay level set

Imaging control of airborne area CCD mapping camera (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
作者: Chen X.; Chen X.; Chen X.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

Digital mapping camera is an important tool for modern airborne photogrammetry. Monochromic area CCD which is full frame transfer is selected as image sensor in this paper. Electronic shutter is utilized to eliminate the opening delay of mechanical shutter which will affect the precision of exterior orientation elements acquisition. The equation for calculation displacement of principal point is proposed for TDI forward image motion compensation to compensate principal point shift. Imaging pose control system is designed in order to meet the need for airborne stereo mapping. 2011 IEEE.

Evaluation of the operating range for ground-based infrared imaging tracking system (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Zhang Z.-D.

收藏 | 浏览/下载：49/0 | 提交时间：2013/03/25

Ground-based infrared imaging tracking system (GIITS) is of great importance for aerial target warning and guard. The operating range is one of the key performance specifications on the other which should be calculated calculate the radiation power received on the detector in order to analysis whether the output signal meets the detection requirements or not analyzed and studied during the whole GIITS design process. The operating range is mostly influenced by a few factors without considering the effect of the background radiation. By improving of the traditional method including atmospheric attenuation a new operating range calculation model of the GIITS was established based on two requirements. One is that the image size of observed target should meet the requirement of the processor signal extraction. The number of the pixel occupied by target image should be more than 9. The other is that the signal noise ratio (SNR) of the GIITS should not be less than 5 to meet the requirements of the target detection probability and spatial frequency. The SNR calculation equation in form of energy is deduced and the radiation characteristic of the observed target and background are analyzed. When evaluate the operating range of the GIITS using the new method the performance of GIITS and feature of target and background. This paper firstly makes analysis and summarization on the definite localizations of the traditional operating range equation of the GIITS. The localizations are mainly in two aspects. On one hand we should successively calculate two operating range values according to two requirements mentioned above and choose the minimum value as the analytic result. In the end the dispersion of the image and the effect of image dispersion are not considered in the traditional method an evaluation of operating range for fighter aircraft is accomplished as an example. The influence factors in every aspect on operating range were explored by the calculated result. The new operating range calculation model provides the theoretical basis for the design and applications as well as the comprehensive evaluation of a GIITS. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).