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

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Fusion of features from multiple visual pathways for on-line classification of tiles

Fusion of features from multiple visual pathways for on-line...

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

作者： Yanan Zhang Qingxiang Wu Yao Xiao Caiyun Wu Pengfei Li Caiyou Yuan Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education Fujian Normal University Fuzhou China

ISBN: (纸本)9781538619384;9781538619377

In the production line, it is difficult to classify the tiles because there are a large number of tile types with a very similar appearance and the tiles will be rotated in the production process. Texture is regarded as an important feature of tiles. Hu invariant moments are features with invariant to rotation of objects. Inspired by processing mechanism in the biological visual system, a multiple visual pathway model is proposed to fuse multifeatures from colour channels and Hu invariant moments. The colour image is transformed to HSI colour space. The textures in three channels of HSI are analyzed. It is found that the texture of I channel is better than other channels. In the tile recognition process, the problem of rotation cannot be solved by texture features. The Hu invariant moments are used to solve the problem of rotation. The I co-occurrence matrix and the Hu invariant moments are combined in series using a multi-channel model. The fused features are used to train SVM to identify tiles. In this paper, the recognition rate of the fusion feature method is 20% higher than that of the methods based on color or texture features. The recognition rate of the proposed method has reached 94.18%.

关键词： image color analysis Feature extraction Visualization Correlation Production Support vector machines Brightness

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Research of deep sea disposable profile channel modeling

Research of deep sea disposable profile channel modeling

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

作者： Xiang-yu Jin Hong-zhi Li Mei Zhou Xiao-rui Wang Yu Zheng School of Electronics and Information Engineering Tianjin Polytechnic University Tianjin Tianjin CN Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai China School of Electronics and Information Engineering Tianjin polytechnic university Tianjin China

XCTD is the abbreviation of the Expendable Conductivity-Temperature-Depth profiler. As one of typical products of the deep-sea abandoned profiler, it had been developed successfully and rapidly in recent years. Considering the influence of cost, work environment or other factors, the transmission line uses a double-stranded enameled wire to transmit data signal in XCTD measurement system. Because of the constraint of the real-time change of channel impedance parameters and the interference of complex ocean noise, the measured data can not transfer to receiving terminal effectively. So how can we make sure that the data signal reliably transfers in the channel at high transmission frequency is one of the key problems of the development of XCTD technology. Firstly, the paper analyzes the transmission characteristic of XCTD channel by establishing the optimized circuit model of XCTD channel, then, the XCTD channel lab model is built to simulate the data transmission process of XCTD underwater measurement. And according to the frequency sweeping method, the LABVIEW platform and data acquisition card is used to get the channel amplitude frequency and phase frequency characteristics at fixed depth. Finally, the three spline interpolation algorithm is used to fit the channel transfer function, and the transmission characteristics of the channel are optimized. It provides a new solution for the research of channel characteristics and the accurate transmission of data.

关键词： Transmission line measurements Integrated circuit modeling Wires Power cables Underwater cables Impedance

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Correlation analysis between stock prices and four financial indexes for some listed companies of mainland China

Correlation analysis between stock prices and four financial...

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

作者： Encai Zhang Jichun Li Haotian Yu Haihong Lin Guannan Chen Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application Fujian Normal University Fuzhou Fujian China

ISBN: (纸本)9781538619384;9781538619377

Industry selection is vital for making informed investment decisions. This paper studies on which financial index had a reasonably high correlation with stock prices during the past thirteen years. The five financial indexes include Revenue, Net profit, Earning per share, Revenue per stock, Trading Volume. The results show that, in pharmaceutical industry, stock prices had a strongest correlation with these five indexes, in some industries like Electrics Information industry, stock prices had a higher correlation with Revenue or Net profit than other indexes, in some other industries like Wine-making industry, stock prices were much more correlated with Revenue per share or Earning per share, in Real Estate industry, stock prices were much more correlated with the Trading Volume, and in some other industries like Power Equipment industry there were seems little correlation between them, which provide a valuable reference to investors when they make a long-term investment decisions.

关键词： Industries Companies Correlation coefficient Share prices Correlation Indexes

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Raman spectroscopy analysis based on fourier transform for ABO blood group identification

Raman spectroscopy analysis based on fourier transform for A...

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

作者： Haihong Lin Haotian Yu Jichun Li Encai Zhang Guannan Chen Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application Fujian Normal University Fuzhou Fujian China

ISBN: (纸本)9781538619384;9781538619377

ABO blood type research is not only used for transfusion medicine, but also for the study of some diseases. In this study, principal component analysis is used to take the ABO blood group Raman spectrum of the Fourier transform, in order to improve the ABO blood typing sample recognition rate. When the principal component analysis is performed directly on the Raman spectrum, the differences between the ABO three blood samples can not be well recognized by the score data of the second and the twentieth main components. The Raman spectra of the fluorescence background is extracted from the Raman spectra by Fourier transform, so the imaginary part of the Raman spectrum is obtained. Then, the principal component of the imaginary part signal is analyzed, and fractional graphs of the second principal component and the twentieth principal component are used. In this way, the blood samples of type A, type B and O type are distinguished. The experimental results show that the principal component analysis is carried out by Fourier transform to improve the clustering effect of spectral data, making ABO three blood groups easier to be distinguished. The reason for the enhancement of the clustering effect is that the internal difference of the same kind of spectral data will be reduced and that the difference of the spectral data of different classes will be increased by Fourier transform.

关键词： Blood Principal component analysis Raman scattering Discrete Fourier transforms Time-domain analysis Liquids

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SAR image Oil Film Detection Based on Ant Colony Optimization Algorithm 9

SAR Image Oil Film Detection Based on Ant Colony Optimizatio...

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Li, Lin-Lin Shandong Xiehe Coll Sch Mech & Elect Engn Jinan Peoples R China

ISBN: (纸本)9781509037100

Edge detection as an important detection algorithm can effectively extract image information, reduce calculation complexity and which is the basis of image various subsequent proceedings. In this paper, Ant Colony Optimization algorithm was adopted to detect classical image and SAR oil film image edges. Classical cameraman image and two Mexico gulf oil spill images were chosen to extract edges by setting reasonable parameters and adaptive thresholds, and finally accurate oil image edge detection was implemented. Experimental results show that, Ant Colony Optimization algorithm can effectively extract the outline of SAR oil film target texture, maintain the continuity of oil film, show ideal speckle inhibition capacity, ensure the accuracy of detection, which has wide application prospect in SAR image edge detection.

关键词： edge detection oil film detection Ant Colony Algorithm Ant Colony Optimization Algorithm

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The summary of clustering algorithm and the application in images 9

The summary of clustering algorithm and the application in i...

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9th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2016

作者： Aili, Zhang Xiuhua, Jiang Information Engineering Communication University of China Beijing China

ISBN: (纸本)9781509037100

Clustering analysis, as a hot direction in the field of data mining, has attracted more and more attention in recent years. For the feature of the unsupervised data processing, the clustering analysis can be used to manage well mass media resources. It has applied in image segmentation and image retrieval system nowadays. © 2016 IEEE.

关键词： image segmentation

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Illumination-Reflectance Based image Enhancement Method for Character Recognition 9

Illumination-Reflectance Based Image Enhancement Method for ...

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Chen, Dongliang Lan, Shanzhen Xu, Pin Zhang, Yongqin Commun Univ China Informat Engn Sch Beijing Peoples R China Northwest Univ Sch Informat Technol Xian Peoples R China

ISBN: (纸本)9781509037100

In order to improve the robustness of the existing character recognition systems and increase their recognition ratio under various bad illumination conditions, we proposed a fast image enhancement algorithm based on illumination-reflectance model, by using an approximate edge-preserved filter. Experimental results showed that our algorithm can greatly help increase the character recognition ratio. In addition, our algorithm can be expected to achieve real-time processing.

关键词： Illumination-Reflectance Model image Enhancement Max-min Filtering

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SIFT-Based Matching Algorithm and Its Application in Ear Recognition 9

SIFT-Based Matching Algorithm and Its Application in Ear Rec...

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Ma Chi Ban Xiaojuan Wang Guosheng Tian Ying Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing Peoples R China Univ Sci & Technol Liaoning Sch Comp Sci & Engn Anshan Peoples R China Beihai Yinhe Ind Investment Co Ltd Beihai Peoples R China

ISBN: (纸本)9781509037100

Ear recognition is an emerging biometric technology and it has great potential and broad application and development space in the field of identity verification. SIFT (Scale invariant feature transform) has the advantages of better description of the model features, maintaining the structure information, the stability of the extracted feature points, the translation scale and rotation of the image and so on. In order to improve the efficiency and accuracy of image matching, a new bidirectional matching algorithm is proposed in this paper. In the experiment, to begin with different feature points are extracted from two images. Next using the BBF-based bi-directional matching method matched all these feature points respectively. the final matches were the integrated matching correspondences. Experiments results demonstrated that the new method can improve the matching accuracy and efficiency and reduce the time consuming by 44%.

关键词： SIFT ear recognition bi-directional match invariant features ear image matching

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An Infrared image processing System for Mobile Remote Sensing 9

An Infrared Image Processing System for Mobile Remote Sensin...

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Wen, Gaojin Zhong, Can Wang, Zhe Lin, Zhaorong Xu, Yun Beijing Inst Space Mech & Elect Lab Aerial Opt Remote Sensing Beijing 100080 Peoples R China Inst Appl Phys & Computat Math Lab Computat Phys Beijing 100088 Peoples R China

ISBN: (纸本)9781509037100

This paper presents an infrared image processing system for monitoring and mapping the thermal distribution of regions in mobile remote sensing applications. The processing system consists of five modules: non-uniformity correction, trajectory segmentation, odd even correction, image projection and visualization. It has been designed to perform thermal mapping efficiently and meet the special requirements of fast data processing. The processing system allows for the viewing of thermal distribution in a 2-d map model. The efficiency and effectiveness of the developed system are evaluated and tested by several image processing tasks.

关键词： Remote sensing

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Synthetic Aperture Radar image Matching Based on Improved Scale-Invariant Feature Transform 9

Synthetic Aperture Radar Image Matching Based on Improved Sc...

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9th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Wang, Qing Tang, Tao Su, Yi Natl Univ Def Technol Coll Elect Sci & Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781509037100

In this paper, an improved scale-invariant feature transform (SIFT) algorithm for synthetic aperture radar (SAR) image matching is proposed. Initially, feature descriptors based on gradient ratio (GR) are constructed by utilizing traditional SIFT method. In order to measure the matching degree between images, the similarities of the descriptors are then calculated via the symmetry kullback-leibler divergence (SKLD) criterion. Experimental results show that the proposed method has a good performance on image matching for SAR images.

关键词： image matching SAR image SIFT algorithm gradient ratio feature extraction

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