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A framework of passive millimeter-wave imaging simulation for typical ground scenes

A framework of passive millimeter-wave imaging simulation fo...

MIPPR 2009 - Multispectral image Acquisition and processing: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Yan, Luxin Ge, Rui Zhong, Sheng Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China National Key Laboratory of Multi-spectral Information Processing Technology Wuhan 430074 China

ISBN: (纸本)9780819478054

Passive millimeter-wave (PMMW) imaging offers advantages over visible and IR imaging in having better all weather performance. However the PMMW imaging sensors are state-of-the-art to date, sometimes it is required to predict and evaluate the performance of a PMMW sensor under a variety of weather, terrain and sensor operational conditions. The PMMW scene simulation is an efficient way. This paper proposes a framework of the PMMW simulation for ground scenes. Commercial scene modeling software, Multigen and Vega, are used to generate the multi-viewpoint and multi-scale description for natural ground scenes with visible images. The background and objects in the scene are classified based on perceptive color clusters and mapped with different materials. Further, the radiometric temperature images of the scene are calculated according to millimeter wave phenomenology: atmospheric propagation and emission including sky temperature, weather conditions, and physical temperature. Finally, the simulated output PMMW images are generated by applying the sensor characteristics such as the aperture size, data sample scheme and system noise. Tentative results show the simulation framework can provide reasonable scene's PMMW image with high fidelity. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Infrared imaging

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Path Integral Based Contour Extraction Method Using Multilevel Metropolis Sampling

Path Integral Based Contour Extraction Method Using Multilev...

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7th International Conference on Photonics and Imaging in Biology and Medicine

作者： Yangguang, Sun Tian, Lan Xiaowei, Fu Mingyue, Ding Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819475398

In this paper we proposed a novel path integral method using multilevel Metropolis sampling to extract the contours of interested objects of medical images, which is a quantum statistical approach inspired by the essential characteristics of quantum. The implemented multilevel Metropolis sampling is a fast approach to the sampling problem and can be used to sample any distribution function and calculate all actions for the movements of quantum particle towards the position with high probability density likely to be accepted. Comparing with traditional deformable models based on classical mechanics which are sensitive to the initialization of contour and difficult to adapt topology changes of the contour, our work has the capability to break through the limitations of deformable models and makes the boundary extraction in high noise and low contrast of medical images possible. Experiments were performed with synthetic and medical images and the feasibility and potential of our method was demonstrated. © 2009 SPIE.

关键词： Distribution functions

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Electrically controlled terahertz band pass filter with liquid crystal

Electrically controlled terahertz band pass filter with liqu...

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Photonics and Optoelectronics Meetings (POEM) 2008: Terahertz Science and Technology

作者： Hui, Li Xinyu, Zhang Tianxu, Zhang Xubang, Shen Institute for Pattern Recognition and AI Multi-spectral information processing technologies National Science and Technology Laboratory Huazhong University of Science and Technology 1037 Luoyu Wuhan Hubei 430074 China

ISBN: (纸本)9780819475367

The paper presents an electrically controlled terahertz (THz) band pass filter with liquid crystal (LC). Considering dichroic filters theory, the filter of two-dimensional metallic photonic crystals is designed as a band pass filter in THz wave band. Electric field is used to change the direction of LC molecules, so that refraction index of LC is changed and correspondingly the peak transmissivity frequency of the THz band pass filter is changed finally. By this way mentioned above electrically controlled THz band-pass filter with LC can be got. The peak transmissivity frequency of the electrically controlled THz band-pass filter is tunable from 0.18THz to 0.19THz by changing electric field. © 2009 SPIE.

关键词： Bandpass filters

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Analysis of appearance features for human matching between different fields of view

Analysis of appearance features for human matching between d...

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2009 IEEE International Conference on Multimedia and Expo, ICME 2009

作者： Xiaowei, Lv Kong, Qing-Jie Fei, Weng Yuncai, Liu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong Univ. Shanghai China Beckman Institute Department of Electrical and Computer Engineering Univ. of Illinois at Urbana-Champaign Urbana IL United States

ISBN: (纸本)9781424442911

Human matching between different fields of view is a difficult problem in intelligent video surveillance;whereas fusing multiple features has become a strong tool to solve it. In order to guide the fusion scheme, it is necessary to evaluate the matching performance of these features. In this paper, four typical features are chosen for the evaluation. They are the Color Histogram, UV Chromaticity, Major Color Spectrum Histogram, and Scale-Invariant Features (SIFT). Quantities of video data are collected to test their general accuracy, robustness, and real-time applicability. The robustness is measured under the conditions of illumination changes, Gaussian and salt noises, foreground errors, resolution changes, and camera angle differences. The experimental results show that the four features bear distinctive performances under the different conditions, which will provide important references for the feature fusion methods. ©2009 IEEE.

关键词： Graphic methods

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3D Volumetric CT Liver Segmentation Using Hybrid Segmentation Techniques

3D Volumetric CT Liver Segmentation Using Hybrid Segmentatio...

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International Conference of Soft Computing and pattern recognition (SOCPAR)

作者： Wan Nural Jawahir Wan Yussof Hans Burkhardt Pattern Recognition and Image Processing Albert Ludwigs University of Freiburg Freiburg im Breisgau Germany

The first step for computer-aided diagnosis for liver of CT scans is the identification of liver region. To deal with multislice CT scans, automatic liver segmentation is required. In this paper, we propose a liver segmentation algorithm using hybrid techniques by combining morphological-based, region-based and histogram-based techniques to segment volumetric CT data. A morphological-based technique is used to find the initial liver tissue from the first slice which is set as a starting slice and region-based is used for further processing for the rest slices, which incorporates seed point generation from Euclidean distance transform (EDT) image on the previous slice for region growing on the current slice. In order to remove neighboring abdominal organs of the liver which connect to the liver organ, the histogram-based technique is used by finding the left and right histogram tail threshold (HTT) and we repeat the use of morphology filtering and large contour detecting for liver smoothing.

关键词： Liver Computed tomography Computer aided diagnosis image segmentation Euclidean distance Abdomen Histograms Tail Morphology Filtering

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A statistical approach to contour extraction based on quantum mechanics

A statistical approach to contour extraction based on quantu...

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Medical Imaging 2009 - image processing

作者： Sun, Yangguang Lan, Tian Fu, Xiaowei Ding, Mingyue Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819475107

Contour extraction is a key issue in many medical applications. A novel statistical approach based on quantum mechanics to extract contour of the interested object of medical images was proposed in this paper. The natures of quantum statistical concepts such as the quantum discontinuity and the wave function correspond to the discrete and gray possibility of an image respectively. Contour extraction will be performed by the quantum particle movement, where the particle will be moved forward to the position with high probability density edges in image potential field. Experimental results with medical images demonstrated that the proposed approach has the capability to extract contours with arbitrary initialization and handle topology changes as well as both the inner and outer contours by a single initialization. Keywords: Statistical approach, contour extraction, path integral, quantum mechanics. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Medical applications

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Spatial and Spectral Based Segmentation of Text in Multispectral images of Ancient Documents

Spatial and Spectral Based Segmentation of Text in Multispec...

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International Conference on Document Analysis and recognition

作者： Martin Lettner Robert Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Austria

ISBN: (纸本)9781424445004

In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to combine the multispectral behavior and contextual spatial information. Therefore we utilize a Markov random field model using the spectral information of the images and stroke properties to include spatial dependencies of the characters. Since the stroke properties and the Gaussian parameters for the imaging model are evaluated automatically the proposed segmentation method requires no training phase. We compared the method to state of the art character segmentation methods and demonstrate the effectiveness of combining spectral and spatial features for the segmentation of characters in multispectral images.

关键词： image segmentation Multispectral imaging image analysis Color Independent component analysis Text analysis Character recognition pattern recognition Markov random fields pattern analysis

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Analysis of second order motion

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Moshi Shibie yu Rengong Zhineng/pattern recognition and Artificial Intelligence 2009年第3期22卷 344-348页

作者： Sun, Bin Sang, Nong Li, Zheng Zheng, Qing-Qing State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

The study of the second order motion in biological vision is a new source of inspiration for algorithms and research directions in computer vision. In this paper, the second order motion can be divided into three typical group according to the modulation types: spatial modulate motion, temporal modulate motion and spatio-temporal modulate motion. Experiments are conducted on the first order motion perception based on correlation model and the second order motion perception by correlation model preceded with a nonlinear process called texture grabber. The computational results are consistent with the previous suggestion that the second order motions are processed by nonlinear system.

关键词： Modulation

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Smart hyperspectral imaging detection based on electrically tunable liquid-crystal Fabry-Perot microstructure array

Smart hyperspectral imaging detection based on electrically ...

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Imaging Spectrometry XIV

作者： Liu, Kan Li, Dehua Li, Hui Zhang, Xinyu Zhang, Tianxu Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multispectral Information Processing Technology Wuhan 430074 Hubei China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan 430074 Hubei China

ISBN: (纸本)9780819477477

A smart spectral imaging detection method based on the integration of electrically tunable liquid-crystal(LC) Fabry-Perot(FP) microstructure array is proposed. It has very broad application in many fields with advantages of low cost, highly compact integration and working without mechanical part. The device can get hundreds of spectral bands simultaneously in one frame of picture in theory. This paper proposes the structure of smart spectral imaging array device, and analyses some key issues of liquid crystal Fabry-Perot structures for imaging application and calibration. Prototypes of 4 × 4 LC-FP array with the cavity thickness ranging from 4 to 20 μm for the working wavelength in the range of 800~900nm, are made by lithography and wet etching. Test is carried out and analysed. © 2009 SPIE.

关键词： Liquid crystals

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Color-based and context-aware skin detection for online video annotation

Color-based and context-aware skin detection for online vide...

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IEEE Workshop on Multimedia Signal processing

作者： Christian Liensberger Julian Stottinger Martin Kampel Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Austria

By analyzing the low level features of images only, skin detection in visual data cannot be solved. To compensate for this major drawback of many approaches, we combine a state of the art recognition algorithm with color model based skin detection. Detected faces in videos are the basis for adaptive skin-color models, which are propagated throughout the video, providing a more precise and accurate model in its recognition performance than pure color based approaches. The approach is able to run in real-time and does not need prior data-specific training. We received challenging online videos from an online service provider and use additional videos from public Web platforms covering a grand variety of different skin-colors, illumination circumstances, image quality and difficulty levels. In an extensive evaluation we estimated the best performing parameters and decide on the best model propagation techniques. We show that adaptive model propagation outperforms static low level detection.

关键词： Skin Face detection image analysis Lighting Internet Automation pattern recognition image processing image color analysis pattern analysis

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