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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

共 2040 条记录，以下是1281-1290 订阅

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Multi-band Blending of Aerial images Using GPU Acceleration 10

Multi-band Blending of Aerial Images Using GPU Acceleration

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Zhao, Nan Zheng, Xinqi China Univ Geosci Sch Informat Engn Beijing Peoples R China

ISBN: (纸本)9781538619377

Aerial images are densely captured with high resolution. It is an important research topic to efficiently process the aerial images. Benefited from its powerful computation power, GPU acceleration techniques have been widely used in image processing, and many traditional techniques achieved real-time processing through using the GPU acceleration. In this research, we study the aerial image blending problems using GPU acceleration. We parallelized the Multi-band blending algorithm and achieved 30 times acceleration compared with CPU implementation.

关键词： image blending GPU acceleration aerial image image decomposition algorithm parallelization

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The Application of Improved Threshold Segmentation on Detection of Color Fluff 10

The Application of Improved Threshold Segmentation on Detect...

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10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Xiao, Hongze Li, Liqing Wang, Jun Huo, Shuhuai Donghua Univ Coll Text Shanghai Peoples R China Chinese Acad Text Sci Komsomolsk Jiangxi Peoples R China

ISBN: (纸本)9781538619377

This paper proposes an improved threshold segmentation to turn the image of fluffs into binary image, the noises and impurities in the image are eliminated by using Gauss filtering and the method of features statistics of color fluffs, then the centroid coordinate of each color fluff is calculated and the location information of each color fluff is obtained, finally every color fluff is detected and eliminated. The experiment proved that the threshold segmentation has the characteristics of high detection rate and fast calculate speed.

关键词： color fluff threshold segmentation machine vision image processing

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Comparative Analysis of Dutch Art and Impressionism through an Interdisciplinary Method 10

Comparative Analysis of Dutch Art and Impressionism through ...

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10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Kim, Minseo Kim, Jeounghoon Korea Adv Inst Sci & Technol Grad Sch Culture Technol Daejeon 305701 South Korea

ISBN: (纸本)9781538619377

This study aims to understand the characteristics of art movements through interdisciplinary research methods that include art history, network analysis, and image processing. We conducted research at three levels-macroscopic, mesoscopic, and microscopic-to reconsider the historical relevance of the art movement. In this study, we mainly focused on the difference between Dutch art and Impressionism, and the usage of blue pigment as a criterion to compare traditional and modern art groups. The results of the analyses provide a holistic perspective for enriching historical knowledge of art movements.

关键词： Color analysis image processing Dutch art Impressionism Blue pigments

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Brain Tumor Segmentation Based on 3D Unet with Multi-Class Focal Loss

Brain Tumor Segmentation Based on 3D Unet with Multi-Class F...

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Jie Chang Xiaoci Zhang Minquan Ye Daobin Huang Peipei Wang Chuanwen Yao School of Medicine Information Wannan Medical College Wuhu P. R. China School of Computer Science and Technology University of Science and Technology of China Hefei P. R. China Wannan Medical College Wuhu Anhui CN Sch. of Med. Inf. Wannan Med. Coll. Wuhu China

Brain tumor segmentation on MR images has significant clinical meaning due to glioblastomas which are the most lethal form of these tumors. Compared to manual segmentation, automatic segmentation system is superior in timesaving and experience-insensitivity for doctors during clinical practice. However, its inherent contradiction is not addressed yet. i.e. imbalance of multi-class of different brain tissues. As such, we proposed a multi-class focal loss to make the loss function emphasis on bad-classified voxels in MR images. Our experiments based on the 3D UNet model proved that this method can significantly improve labeling and segmentation accuracy as compared to other loss layers.

关键词： Tumors image segmentation Measurement Three-dimensional displays Training Computer architecture Brain modeling

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image Emotional Semantic Annotation Based on Fusion Features 10

Image Emotional Semantic Annotation Based on Fusion Features

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Zhang, Xuliang Lou, Sudi Shenzhen Polytech Shengzheng Peoples R China Hangzhou Dianzi Univ Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781538619377

Due to "semantic gap", the problem of image emotional semantic annotation has not been solved. In this parper, a method of emotion semantic annotation for cheongsam images based on Fusion Features has been proposed. Multi-features including the color and texture are used to describe the content of the image. Then least squares support vector machine for regression which is optimized by particle swarm optimization is used to build the mapping between the feature space and emotional space. The experiment indicates that this method achieves good effect.

关键词： component image emotion semantic annotation fusion features least squares support vector machine

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Regularization parameter selection in image restoration with inverse gradient: Single scale or multiscale? 7

Regularization parameter selection in image restoration with...

引用

7th IEEE international Conference on Communications and Electronics, ICCE 2018

作者： Surya Prasath, V.B. Thanh, Dang N.H. Hai, Nguyen H. Division of Biomedical Informatics Cincinnati Children's Hospital Medical Center CincinnatiOH45229 United States Department of Biomedical Informatics College of Medicine University of Cincinnati OH45267 United States Department of Electrical Engineering and Computer Science University of Missouri-Columbia ColumbiaMO65211 United States Department of Information Technology Hue College of Industry Hue530000 VN Viet Nam Department of Informatics University of Education University of da Nang Da Nang550000 VN Viet Nam

ISBN: (纸本)9781538636787

Regularization methods are effective in to solving ill-posed vision problems such as image denoising and restoration. These methods typically involve a smoothness/regularization term (prior) and a data term (fidelity). The importance of the regularization parameter that weights the smoothness prior term is well known in the image processing literature. In this work, we consider a particular class of adaptive regularization terms, which depend on the inverse gradient of the image. A pre-smoothing operation with Gaussian kernel is performed in computing the inverse gradient based adaptive regularization term with a fixed scale. However, in general, digital images contain objects of varying sizes, hence a multiscale regularization can improve the edge preserving restorations. We study here a comparison of single scale versus multiscale inverse gradient regularization parameter selection in image restoration along with quadratic and total variation regularization priors. Our experimental results conducted on standard test images indicate that using multiscale strategy improves the restoration quality both in terms of noise reduction and structure preservation. This assertion is augmented by various error metrics such as peak signal to noise ratio, and structural similarity. © 2018 IEEE.

关键词： image reconstruction

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Inter-vehicle Distance Detection Based on Keypoint Matching for Stereo images 10

Inter-vehicle Distance Detection Based on Keypoint Matching ...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Shima, Yoshihiro Meisei Univ Sch Sci & Engn Hino Tokyo 1918506 Japan

ISBN: (纸本)9781538619377

An algorithm to detect car distance from a pair of stereo images is presented. It is useful for drivers to avoid collisions and ensure safety to keep the car at a constant distance from the car ahead. The conventional distance detection method is based on image matching;the proposed algorithm is based on key-point matching. Key points are extracted from a stereo image pair by using Speeded Up Robust Features (SURF). The distance is calculated from 3D binocular disparity, the difference of position at the object.

关键词： distcnce detection 3D image key-point matching stereo vision car control

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The Design of Seven-Lead Electrocardiograph Monitoring System Based on Wi-Fi

The Design of Seven-Lead Electrocardiograph Monitoring Syste...

引用

international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Jinling Zhang Ruijie Sun Siyi Wang Beijing Key Laboratory of Space-ground Interconnection and Convergence Beijing University of Posts and Telecommunications BUPT Beijing China School electronic engineering Beijing University of Posts and Telecommunications BUPT Beijing China

Aiming at the needs of applications of home-based care for the aged and communities, this paper presents a seven-lead electrocardiograph (ECG) monitoring system based on Wi-Fi short-range wireless transmission technology. The system mainly consists of two parts: the seven-lead ECG monitoring device and the ECG monitoring platform. The Seven-lead ECG monitoring device mainly consists of the ECG pre-processing module, integrated analog front end, the micro-controller, the Wi-Fi wireless transmission module and the power module. This system has the advantages of miniaturization, low power consumption and high performance. The ECG monitoring system uses Wi-Fi wireless transmission technology to send the ECG data of monitored by the seven-lead ECG monitoring device to the ECG monitoring platform of the monitoring center for real-time display of ECG waveforms. Doctors can obtain the health status of the patients who recuperates at home or the aged of community by the community ECG monitoring system and which can also remind the aged of abnormal ECG signals in time to go for a further physical examination for reducing the sudden death rate of the cardiovascular disease.

关键词： Electrocardiography Monitoring Wireless fidelity Wireless communication Wireless sensor networks Filtering Lead

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A Protein Structure Refinement Method Using Bi-objective Particle Swarm Optimization Algorithm 10

A Protein Structure Refinement Method Using Bi-objective Par...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Geng, Ling Shen, Hongbin Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit Shanghai Peoples R China

ISBN: (纸本)9781538619377

We design a bi-objective particle swarm optimization algorithm-based protein structure refinement method and the basic motivation is trying to solve the bias problem caused by minimizing only a single energy function due to the complexity and the diversity of different protein structures. The bi-objective energy function optimization strategy designed in our protocol extends the 1-D optimization to a new 2-D optimization driven by the artificial intelligence PSO engine.

关键词： protein structure refinement warm intelligence bi-objective optimization

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Resolution Determination Method of a Cryo-EM Density Map Based on Multi-scale Spectral signal to Noise Analysis 10

Resolution Determination Method of a Cryo-EM Density Map Bas...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Yang, Yu-Jiao Shen, Hong-Bin Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit Shanghai Peoples R China

ISBN: (纸本)9781538619377

Cryo-EM reconstruction technology is developing rapidly, while the 3D density map's resolution determination method is still unsatisfactory. In this paper, we propose a new multi-scale spectral signal to noise ratio analysis method to determine a reasonable global resolution. We apply the mask idea and generate multi-scale masks to estimate the final resolution.

关键词： Cryo-EM multi-scale spectral signal to noise ratio mask resolution

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