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Aviation video moving-target detection with inter-frame difference

Aviation video moving-target detection with inter-frame diff...

引用

congress on image and signal processing, CISP

作者： Rui Liang Lei Yan Pengqi Gao Xu Qian Zhongjian Zhang Huabo Sun Institute of Remote sensing and Geographic Information Systems Beijing Key Laboratory of Spatial Information Integration & Its Applications Peking University Beijing China School of mechanical Electronic & Information Engineering China University of Mining and Technology Beijing China Centre for Space Debris Research and Application National Astronomical Observatories Chinese Academy and Sciences Beijing China

Some problems of brightness, few detail information and small proportion of moving-target are existed in the aviation video. For those, insect compound eye has great advantages to detect the targets. With moving-target capture method from bionic compound eyes, the inter-frame difference algorithm is proposed in movement window. The experiments indicate that the algorithm has few computations, high accuracy to extract moving-target in aviation video.

关键词： image edge detection Noise Compounds Computer vision image motion analysis biomedical optical imaging Optical imaging

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Eye location method based on Haar features

Eye location method based on Haar features

引用

congress on image and signal processing, CISP

作者： Li Ke Jingjing Kang Institute of Biomedical and Electromagnetic Engineering Shenyang University of Technology Shenyang Liaoning China

Eye location is the imported reference of face normalization in face recognition system. This paper describes a novel method to improve the eye location accuracy in the face image, which detected eyes by combining Haar features, dual-orientation Gabor filters and eye templates. First, introduce Haar features to detect face region from face images, and then detect the binocular region based on Haar features in the face region. Finally accurately locate eye coordinates by combining dual-orientation Gabor filters and eye templates from the preliminary binocular region or face region. The experimental results on images of Face Recognition Technology (FERET) database demonstrate that this proposed method was able to achieve a location accuracy of 86.34% in 1477*2 eyes, and it is effective in video images by experiments. Using this method can enhance the performance of face detection and recognition in the video surveillance system.

关键词： Face Gabor filters Databases Feature extraction Accuracy Face recognition Pixel

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Improved example-based single-image super-resolution

Improved example-based single-image super-resolution

引用

congress on image and signal processing, CISP

作者： Xie Qinlan Chen Hong Cao Huimin College of Biomedical Engineering South Central University of Nationalities Wuhan China

How to reduce the super-resolving time for realtime application but not to tamper observably with the quality of image is the interesting pivotal point of research about example-based single-image super-resolution now. The paper proposes a method which classifies these high-frequency patches of low-resolution image to accelerate the procedure. Before the super-resolution, classify method is used to mark the high-frequency patches of the low-resolution image with corresponding labels. During superresolution, the distances between each matching patches of low-resolution image and middle-frequency patches of training set are computed. The candidate patch is the patch within training set with the minimum distance. For the patches labeled with non-edge, few candidates are selected, while for flat patches the matching step can be canceled, directly replacing high-resolution patches by enlarged interpolation of low-resolution patches. Two examples are use to illustrate the performance of the proposed algorithm, one using a factitious image obtained by blurring and down-sampling an original image, and another using directly a true image. The results show the proposed method can reduce effectively the computational complexity.

关键词： Training Interpolation Spatial resolution Pixel signal resolution Manganese

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Measurement and classification of shanghai female face shape based on 3D image feature

Measurement and classification of shanghai female face shape...

引用

congress on image and signal processing, CISP

作者： Yanqiu Xu Jianxin Qiu Ling Ma Institute of Clothing Technology Shanghai University Engineering of Science Shanghai China

Define faces temporal width, bizygomatic breadth, mandibular breadth, maxilla-chin breadth, physiognomic facial length as the key characteristic parameters of face classification, which based on anthropometry, image feature and mathematical statistics theory. Characteristic data of face shapes for 201 cases of shanghai female college students are extracted through 3D non-contact image measurement. Young female in shanghai are divided into 8 kinds of face shapes by cluster analysis using SPSS software. And the proportion of various face shape is: round face and diamond shape face account for the largest proportion, heart-shape face account for the smallest proportion, melon seeds face, pear face and long face is the second, square face and ellipse face account for intermediate proportion. Finally, analysis of variance of each index and chi-square test of data prove reasonable selection of sample and facial index, scientific classification of human faces. The conclusions provide the engineering and aesthetics basis for anthropology and biomedical.

关键词： Face Shape Feature extraction Indexes Humans Diamond-like carbon Shape measurement

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A novel medicine-quality-estimation technology based on intelligent algorithms supported by optimized Grid-computing

A novel medicine-quality-estimation technology based on inte...

引用

congress on image and signal processing, CISP

作者： Jinhui Shen Minggang Shao Fang Yang Yuelian Zhu Gang Zhang Biochemical Engineering College Beijing Union University Beijing China

Medicine-product-quality-estimation (MPQE) is a key stage of medicine services and manages. Especially, the Chinese medicine products consist complicated compositions from a variety of different natural arias and provided by different local manufactories. In the total MPQE process, an full computer-execution-process of MPQE including two intelligent algorithms, namely a specially composed Genetic-algorithm (GA) used in first step and a fuzzy-reformed BP-neural-network used in second step, supported by Grid-computing system which is optimally equipped by workflow-engine (WEEP), is developed by the cooperation of CEFSP 200805# (Chinese Education Foundation Science Project, Number 5) and CAD-grid 2# (China-Austria-Grid-Computing-Cooperation-Project, Number 2), proposed in this paper.

关键词： Fingerprint recognition biomedical imaging Arrays Estimation Gallium Computers

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A volume rendering method based on multiple segmentation results

A volume rendering method based on multiple segmentation res...

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congress on image and signal processing, CISP

作者： Jie Liu Fei Yang Department of biomedical engineering School of computer Beijing Jiaotong University Beijing China

Most volume renderings in medical application today employ one-dimensional transfer functions, which assign color and opacity to samples solely on their intensity value. The method is not effective when it is used on volumes that contain different materials sharing some common value range. The current method using multi-dimensional transfer function based on the introduction of gradient magnitude can achieve a better classified rendering result, but the implementation of the method depends on a relatively complex user-interface. An alternative method will be introduced in this article, which first takes advantage of multiple segmentation results to map the value of different materials to separate intervals, and then render the resulting volume with a typical rendering module using one-dimensional transfer functions. A clear contrast between different tissues can be achieved by setting the transfer functions by pieces according to the gray intervals standing for different materials. The implementation and the usage of the method are both quite simple.

关键词： Rendering (computer graphics) Transfer functions image segmentation image color analysis Algorithm design and analysis Materials Histograms

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Instantaneous frequency based spectral analysis of nuclear magnetic spectroscopy data for metabolomics

Instantaneous frequency based spectral analysis of nuclear m...

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congress on image and signal processing, CISP

作者： Elias Aboutanios Yannis Kopsinis Denis Rubtsov The School of Electrical Engineering and Telecommunications University of New South Wales Sydney NSW Australia Department of Informatics and Telecommunications University of Athens (NKUA) Athens Greece Department of Biochemistry University of Cambridge Cambridge UK

Nuclear magnetic resonance spectroscopy (NMRS) signals are modeled as a sum of decaying complex exponentials. The spectral analysis of these signals in order to detect their components and estimate their parameters is crucial to the biochemical analysis of the samples under examination. This paper presents a novel time frequency representation based on a Gabor filterbank/notch filtering instantaneous frequency estimator, in order to enable the detection of weaker and shorter lived exponentials. Building on prior work involving filterank-based instantaneous frequency (IF) estimation, this new approach is an iterative procedure where a Gabor filterbank is first employed in order to obtain a reliable estimate of the IF of the strongest component present. This component is then notch filtered in order to un-mask weaker components and the procedure repreated. The performance of this method was evaluated using an artificial signal and compared to the short time Fourier transform and the original Gabor filterbank approach. The results clearly demonstrate the superiority of the new method in uncovering weaker signals and resolving components that are very close to one another in frequency.

关键词： Frequency estimation Time frequency analysis Nuclear magnetic resonance Estimation signal resolution Damping

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Classification of EEG signals by ICA and OVR-CSP

Classification of EEG signals by ICA and OVR-CSP

引用

congress on image and signal processing, CISP

作者： Li Ke Junli Shen Institute of Biomedical and Electromagnetic Engineering Shenyang University of Technology Shenyang Liaoning China

signal processing of Electroencephalography (EEG) plays an important role in brain-computer-interface (BCI) system. Therefore, it is a key in selection of suitable methods. This paper proposed a new method by combing Independent Component Analysis (ICA) with One Versus the Rest Common Spatial Patterns (OVR-CSP) to improve the classification performance. Firstly, EEG signals were filtered with FIR bandpass filter 8-30HZ. Secondly, relative frequency band signals (i.e. μ and β rhythm) were decomposed into independent components to obtain the solution matrix by ICA, and the EEG signals were reconstructed by the main components for improving the signal-to-noise ratio. In order to capture the essential structure of the data, OVR-CSP was used to extract the feature of EEG signals and reduce data dimensions. Finally, using Support Vector Machines (SVM) to classify the feature. The experiment result shows that the average accuracy rate of EEG signals based on motor imagery by the proposed method could achieve 95.555%. It can be understood that ICA is a very effective method to remove artifacts in EEG.

关键词： Electroencephalography Finite impulse response filter Algorithm design and analysis Covariance matrix Support vector machines Rhythm Accuracy

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Improving low-dose X-ray CT images by Weighted Intensity Averaging over Large-scale Neighborhoods

Improving low-dose X-ray CT images by Weighted Intensity Ave...

引用

congress on image and signal processing, CISP

作者： Yang Chen Xudong Bao Xindao Yin Limin Luo Wufan Chen The Laboratory of Image Science and Technology Southeast University China School of Biomedical Engineering Southern Medical University China The Department of Radiology Nanjing First Hospital Affiliated to Nanjing Medical University China

How to reduce the radiation dose delivered to the patients is always an important concern since the introduction of computed tomography (CT). With respect to patients' care, the least possible radiation dose is demanded. Though clinically desired, low-dose CT (LDCT) images tend to be severely degraded by quantum noise and artifacts under low dose scan protocols. This paper proposes to improve the LDCT images by Weighted Intensity Averaging over Large-scale Neighborhoods (WIA-LN). In the implementation of the proposed WIA-LN method, the processed pixel intensities are from a selective weighted intensity averaging of the pixels belonging to different organs or attenuation tissues within large-scale neighborhoods. Effective suppression of noise and artifacts in LDCT images without obvious loss of fine anatomic features are realized. In experiment, CT images of different doses from a Siemens CT with 16 detector rows are used. Results validate an excellent performance of the proposed approach in improving clinical LDCT images.

关键词： Computed tomography Pixel Noise reduction Noise Radiology Electron tubes image edge detection

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PHASE BASED VOLUME REGISTRATION USING CUDA

PHASE BASED VOLUME REGISTRATION USING CUDA

引用

IEEE international Conference on Acoustics, Speech, and signal processing

作者： Anders Eklund Mats Andersson Hans Knutsson Division of Medical Informatics Department of Biomedical Engineering Center for Medical Image Science and Visualization (CMIV) Linkoping University Sweden

ISBN: (纸本)9781424442959;9781424442966

We present a method for fast phase based registration of volume data for medical applications. As the number of different modalities within medical imaging increases, it becomes more and more important with registration that works for a mixture of modalities. For these applications the phase based registration approach has proven to be superior. Today there seem to be two kinds of groups that work with medical image registration, one that works with refining of the registration algorithms and one that works with implementation of more simple algorithms on graphic cards for speeding up the algorithms. We put the work from these groups together and get the best from both worlds. We achieve a speedup of 10-30 compared to our CPU implementation, which makes fast phase based registration possible for large medical volumes.

关键词： image registration local phase CUDA GPU Registration image registration Speeding GRAPPER PICK UP Graphics processing Unit Phase

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