中国科学院机构知识库网格系统: 检索

The multi-scale fusion reconstruction algorithm of CT and CL 期刊论文 OAI收割
Physica Scripta, 2023, 卷号: 98, 期号: 10
作者: Jia,Tong; Wei,Cunfeng; Zhu,Min; Shi,Rongjian; Wang,Zhe

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收藏 | 浏览/下载：28/0 | 提交时间：2023/10/25

computed tomography computed laminography multi-scale fusion reconstruction algorithm paleontological fossils multilayer printed circuit boards

A multi-scale algorithm for dislocation creep at elevated temperatures 期刊论文 OAI收割
THEORETICAL AND APPLIED MECHANICS LETTERS, 2021, 卷号: 11, 期号: 1, 页码: 100230
作者: Yuan LC(袁力超)

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收藏 | 浏览/下载：6/0 | 提交时间：2024/01/15

Multi-scale algorithm Dislocation glide Dislocation climb High temperature creep Dislocation dynamics

Multi-scale computational method for dynamic thermo-mechanical performance of heterogeneous shell structures with orthogonal periodic configurations 期刊论文 OAI收割
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 卷号: 354, 页码: 143-180
作者: Dong, Hao; Zheng, Xiaojing; Cui, Junzhi; Nie, Yufeng; Yang, Zhiqiang

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收藏 | 浏览/下载：78/0 | 提交时间：2020/01/10

Multi-scale asymptotic analysis Dynamic thermo-mechanical performance Heterogeneous shell structures Orthogonal periodic configurations SOTS numerical algorithm

Utilizing spatial association analysis to determine the number of multiple grids for multiple-point statistics SCI/SSCI论文 OAI收割
2016
作者: Bai H. X.; Ge, Y.; Mariethoz, G.

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收藏 | 浏览/下载：23/0 | 提交时间：2017/11/09

Multi-point simulation Multiple grid simulation Multiple grid number Join count statistics Single normal equation simulation training images simulation geostatistics classification reconstruction algorithm objects scale

Utilizing spatial association analysis to determine the number of multiple grids for multiple-point statistics SCI/SSCI论文 OAI收割
2016
作者: Bai H. X.; Ge, Y.; Mariethoz, G.

收藏 | 浏览/下载：31/0 | 提交时间：2016/12/16

Multi-point simulation Multiple grid simulation Multiple grid number Join count statistics Single normal equation simulation training images simulation geostatistics classification reconstruction algorithm objects scale

A line mapping based automatic registration algorithm of infrared and visible images 会议论文 OAI收割
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：35/0 | 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.

A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China
作者: Wang Y.; Liu G.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

This paper presents a new fast target recognition algorithm the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm it is also robust to affine transform light projective transform noise thin fog occlusion and illumination change. the performed experiments show that it has fast searching speed and can accurately recognize and locate target in real scenes. 2012 IEEE.

Improved Multi-scale Segmentation Algorithm for High Spatial Resolution Remote Sensing Images 会议论文 OAI收割
Advanced Materials in Microwaves and Optics, Stafa-Zurich
Liu Rui; Wang Shixin; Zhou Yi; Shao Zhenfeng

收藏 | 浏览/下载：23/0 | 提交时间：2014/12/07

FNEA algorithm watershed transformation multi-scale segmentation heterogeneity

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：72/0 | 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.

Multi-scale edge extraction based stereo matching algorithm (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010, December 11, 2010 - December 12, 2010, Chongqing, China
作者: Li L.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

In the field of robot vision edge feature based stereo matching algorithm can reconstruct the targets with clear contours which needs accurate and continuous target edges been extracted. In the paper the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly. (2011) Trans Tech Publications.