检索结果-内蒙古大学图书馆

ieee 5th International Conference on Advanced computational intelligence (ICACI)

作者： Guo, Hongxiang Hu, Xiaodong Chinese Acad Sci Xian Inst Opt & Precis Mech Xian Hitech Ind 17Xinxi RdNew Ind Pk Xian Shaanxi Peoples R China Chinese Acad Sci Xian Inst Opt & Precis Mech Xian Shaanxi Peoples R China

ISBN: (纸本)9781467317443

This paper introduces the composition of the autocollimator tracking system, and analyses in detail the image processing part and servo tracking part of the system. The image processing part uses TMS320DM642 DSP to complete the image acquisition and image display. Using RS232 serial ports to transmit each frame offset of target to the servo tracking part. According to the offset information, the servo tracking part makes use of TMS320F2812 DSP to complete real-time tracking. Autocollimator tracking system uses two rhombic prisms to ensure real-time transmission of optical path. Experiments show that the autocollimator tracking system can achieve 1HZ real-time tracking and fully meets the project needs.

关键词： aerospace components aerospace computing angular measurement digital signal processing chips image processing equipment object tracking peripheral interfaces rockets

来源：评论

学校读者我要写书评

暂无评论

An estimation method of Direct spread signal pseudo-code rate based on delay-and-multiplication autocorrelation 8

An estimation method of Direct spread signal pseudo-code rat...

引用

8th International symposium on computational intelligence and Design (ISCID)

作者： Qian Bingli Feng Yongxin Qian Bo Shenyang Ligong Univ Sch Informat Sci & Engn Shenyang Peoples R China

ISBN: (纸本)9781467395878

In order to solve parameter estimation problem of Direct spread signal (DS signal) pseudo-code rate in low SNR, the generation mechanism of DS signal and autocorrelation characteristics are deeply studied. The received DS signal is processed by follows, such as delay-and-multiply, autocorrelation, low-pass filtering and fast fourier transform, which reduce noise interference. Finally the effective estimation of pseudo-code rate can be realized by searching for the pseudo-code rate spectral lines. Finally by searching for pseudo-code rate spectral lines method can realize the effective estimation of pseudo-code rate. In the case of SNR is -16dB, Simulation results show that the method can realize effective estimation of the pseudo-code rate parameters. And effective estimation of pseudo-code rate in lower SNR can be realized by increasing the processing data points.

关键词： Direct spread signal pseudo-code rate delay-and-multiply autocorrelation

来源：评论

学校读者我要写书评

暂无评论

Learning Asymmetric and Local Features in Multi-Dimensional Data Through Wavelets With Recursive Partitioning

引用

ieee TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE intelligence 2022年第11期44卷 7674-7687页

作者： Li, Meng Ma, Li Rice Univ Dept Stat Houston TX 77025 USA Duke Univ Dept Stat Sci Durham NC 27708 USA

Effective learning of asymmetric and local features in images and other data observed on multi-dimensional grids is a challenging objective critical for a wide range of image processing applications involving biomedical and natural images. It requires methods that are sensitive to local details while fast enough to handle massive numbers of images of ever increasing sizes. We introduce a probabilistic model-based framework that achieves these objectives by incorporating adaptivity into discrete wavelet transforms (DWT) through Bayesian hierarchical modeling, thereby allowing wavelet bases to adapt to the geometric structure of the data while maintaining the high computational scalability of wavelet methods-linear in the sample size (e.g., the resolution of an image). We derive a recursive representation of the Bayesian posterior model which leads to an exact message passing algorithm to complete learning and inference. While our framework is applicable to a range of problems including multi-dimensional signal processing, compression, and structural learning, we illustrate its work and evaluate its performance in the context of image reconstruction using real images from the imageNet database, two widely used benchmark datasets, and a dataset from retinal optical coherence tomography and compare its performance to state-of-the-art methods based on basis transforms and deep learning.

关键词： Wavelet analysis Bayes methods computational modeling Data models Discrete wavelet transforms Analytical models Indexes Bayesian inference hierarchical models multi-resolution analysis image processing sparse coding wavelets

来源：评论

学校读者我要写书评

暂无评论

Tumor Detection using threshold operation in MRI Brain images

Tumor Detection using threshold operation in MRI Brain Image...

引用

3rd ieee International Conference on computational intelligence and Computing Research (ICCIC)

作者： Natarajan, P. Krishnan, N. Kenkre, Natasha Sandeep Nancy, Shraiya Singh, Bhuvanesh Pratap VIT Univ Sch Comp Sci & Engg Vellore Tamil Nadu India MS Univ Dept Informat Technol Thirunelveli Tamil Nadu India VIT Univ Sch Comp Sci & Engg Vellore Tamil Nadu India

ISBN: (纸本)9781467324816;9781467313445

Medical image processing is a complex and challenging field nowadays. processing of MRI images is one of the parts of this field. This paper proposes a strategy for efficient detection of a brain tumor in MRI brain images. The methodology consists of the following steps: pre-processing by using sharpening and median filters, enhancement of image is performed by histogram equalization, segmentation of the image is performed by thresholding. This approach is then followed by the further application of morphological operations. Finally the tumor region can be obtained by using the technique of image subtraction.

关键词： Morphology Threshold image Subtraction Tumor Identification Filter

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Soft Decision Method for Depth Map Prediction

An Adaptive Soft Decision Method for Depth Map Prediction

引用

5th International symposium on computational intelligence and Design (ISCID)

作者： Sun, Tao Zhou, Li Univ Jinan Shandong Prov Key Lab Network Based Intelligent C Jinan Shandong Peoples R China

ISBN: (纸本)9780769548111;9781467326469

Depth map prediction is the key point in Free Viewpoint Video technique. Among current depth map estimation approaches, combined temporal and interview prediction method is the most practical one for hardware design and real time processing. It is based on block search inter-prediction on various block size to get the best estimation result with specific cost function. Although much data processing bandwidth can be saved by reusing of hardware and computation resources in disparity vector prediction, it still needs to calculate all block size cost results, and has disparity prediction errors at object boundary or continuous areas, resulting in block effect and prediction noises in depth map. This paper presents an efficient adaptive soft decision method based on chrominance image segmentation. The best prediction block size is pre-determined before block search progress. So much calculation efforts are saved. Only specific block size computation is executed to get the best disparity vector prediction, instead of selecting the best one from all block size calculation results. Experiment results show that the adaptive soft decision method can enhance depth map quality efficiently with less prediction errors and computation cost. It is suitable for hardware realization and real time processing.

关键词： free viewpoint video depth map chrominance image segmentation combined temporal and interview prediction

来源：评论

学校读者我要写书评

暂无评论

Bio-image Resolution Enhancement Using Various Filters

Bio-Image Resolution Enhancement Using Various Filters

引用

2015 ieee signal processing in Medicine and Biology symposium (SPMB)

作者： Kyung, Richard Lee, Joo Hee Kim, Sanghyun Choice Res Grp Cresskill NJ 07626 USA

ISBN: (纸本)9781509013500

The process of medical images using Magnetic resonance imaging (MRI) is important in medical areas;such as the anatomy of human soft tissue, and diagnosis of stroke or cancer. Using mathematical and computational transformations, frequency is transferred to receive MRI images. From the process of an MRI, a large amount of frequency data are obtained. However, to determine the final image, the entire frequency information is not needed. To decrease the size of the frequency domain in a relatively large k-space, and to produce an MRI image of a brain, data was gathered in certain ways by utilizing various filters. Through utilizing MRI filters based on proposed Gaussian filters such as y = exp(-((m-L/2)2)/ck), where m, L, c and k are all variables, and by adjusting the two main variables, c and k;relatively clear images with smaller k-space are able to be created. The constants c and k are tested from 10 and 1, increasing by 5 and 1, respectively. © 2015 ieee.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Full-Body Visible Human Project® Female computational Phantom and Its Applications for Biomedical Electromagnetic Modeling

Full-Body Visible Human Project® Female Computational Phant...

引用

ieee signal processing in Medicine and Biology symposium

作者： Yanamadala, J. Rathi, V. K. Maliye, S. Win, H. A. Tran, A. L. Zagalskaya, M. Noetscher, G. M. Makarov, S. N. Kozlov, M. K. Nazarian, A. Worcester Polytech Inst Elect & Comp Engn Dept Worcester MA 01604 USA Max Plank Inst Human Cognit & Brain Sci D-04103 Leipzig Germany Harvard Med Sch Beth Israel Deaconess Med Ctr Boston MA 02215 USA

ISBN: (纸本)9781479981847

This study describes the development to date of a computational full-body human phantom based on the VHP female dataset. Its unique feature is full compatibility both with MATLAB and specialized FEM computational software packages such as ANSYS HFSS/Maxwell 3D. Applications for low-frequency and radio-frequency electromagnetic modeling are considered.

关键词： image segmentation Visible Human Project (R) (VHP) computational phantom MATLAB (R) Low-frequency electromagnetic modeling RF modeling

来源：评论

学校读者我要写书评

暂无评论

Gaussian Noise Removal of Blind Source Separation Based on image Sequence 11

Gaussian Noise Removal of Blind Source Separation Based on I...

引用

11th International symposium on computational intelligence and Design (ISCID)

作者： Dong, Shijia Yu, Chunyu Sun, Bin Nanjing Univ Posts & Telecommun Coll Elect & Opt Engn Nanjing Peoples R China Nanjing Univ Posts & Telecommun Coll Microelect Nanjing Peoples R China Nanjing Univ Posts & Telecommun Sch Automat Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538685273

This paper proposes a noise reduction method of blind source separation based on image sequence. In the image, the signal and the noises can be considered as the independent components, so the multi-frame images can be considered as the multiple linear combinations of one signal and a lot of noises for the noise's randomness. Due to that, the noises can be removed from the sampled multi-images based on blind source separation (BSS). During the separation calculation, the common Gaussian noise is taken as the object to be eliminated, and the nonlinear principal component analysis (NLPCA) is used as the BSS method and the analysis of the noise reduction is based on changing either the noise degree or the image sampling numbers. This proposed algorithm is compared with the multi-frame average (MFA) that is a famous noise reduction algorithm based on image sequence. The analysis results show that the noise reduction properties by using the proposed method will be affected by the noise degree or the image sampling numbers when eliminating the Gaussian noise;and this method can recover the images which are heavily noise polluted, and the suppression effect on strong noises is obviously better than MFA algorithm.

关键词： image noise reduction image sequence blind source separation principal component analysis multi-frame averaging

来源：评论

学校读者我要写书评

暂无评论

Greedy Steep Slope Finder: the Fast Impulsive Noise Rejection for Compressed Measurement image signals

Greedy Steep Slope Finder: the Fast Impulsive Noise Rejectio...

引用

ieee International symposium on Intelligent signal processing and Communications Systems (ISPACS)

作者： Suwanwimolkul, Suwichaya Sermwuthisarn, Parichat Auethavekiat, Supatana Chulalongkorn Univ Dept Elect Engn Bangkok Thailand

ISBN: (纸本)9781467350839

Impulsive noise in a compressed measurement signal can be detected by the energy distribution of the reconstructed sparse signal. In this paper, the fast preprocessing for impulsive noise rejection for a compressed measurement image signal is proposed. An image is sparsified by octave-tree wavelet transform with db8 as the mother wavelet. The impulsive noise is detected via the change in the ratio of the energy leaking out of the third level subband to the total energy of the sparse signal. Since the information in the image is redundant, the number of the noisy element is estimated within + g of the actual value. g is defined in the unit of the percent of the size of the compressed measurement signal. The experiment shows that the proposed method effectively rejected noise with large magnitude. It provided the comparable performance to the method that rejected the exact number of noisy elements but required less computational time.

关键词： Compressed Sensing (CS) preprocessing impulsive noise energy ratio binary search

来源：评论

学校读者我要写书评

暂无评论

A DCT-SVD Domain Watermarking for Color Digital image Based on Compressed Sensing Theory and Chaos Theory 7

A DCT-SVD Domain Watermarking for Color Digital Image Based ...

引用

7th International symposium on computational intelligence and Design (ISCID)

作者： Li, Mengmeng Han, Chao Anhui Univ Minist Educ Key Lab Intelligent Comp & Signal Proc Hefei Peoples R China

ISBN: (纸本)9781479970056

In this paper, it is presented that a new color image watermarking algorithm based on compressed sensing theory and chaos theory in discrete cosine transform (DCT) and singular value decomposition (SVD) domain. Initially, a color watermarking image is preprocessed by four steps i.e. being divided into red, green and blue channels, being sparse by wavelet transform, scrambling by 1-D chaos sequence and measurement through Gaussian random matrix. Here, the chaos sequence is produced by 1-D Logistic mapping. Then the red, green and blue channel images of a color host image are divided into 8x8 blocks and then transformed by DCT. Next the first DCT coefficient of each block is selected to compose a new matrix, and the new matrix is decomposed by SVD. The singular values are the regions of watermarking embedment. Thirdly, three sets of measured coefficients as new watermarking are embedded into the corresponding singular values. Finally, the Iterative Hard Threshold (IHT) algorithm is used to reconstruct the watermarking image. The method proposed can not only enlarge the information capacity of watermarking embedment but also strengthen the security of watermarking in the condition of the good imperceptibility. The experiments show that the scheme is feasible and has good anti-attack ability for JPEG compression, Gaussian white noise, rotating and median filtering.

关键词： color digital watermarking compressed sensing chaos theory singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：