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Proceedings of SPIE: third international symposium on multispectral image processing and pattern recognition

Proceedings of SPIE: Third International Symposium on Multis...

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third international symposium on multispectral image processing and pattern recognition

The proceedings contains 100 papers from the conference on proceedings of SPIE: third international symposium on multispectral image processing and pattern recognition: part two. shape analysis and detection based on morphological pattern spectrum;scalable reduced dimension face object segmentation and tracking;automatic registration of SAR and optical images based on linear features and neural network;a two-stage approach to automatic face alignment;detection and analysis of moving objects in infrared image sequences based on supervised learning;an efficient parallel architecture for MPEG-4 zerotree encoder;and color texture synthesis based on structure .

关键词： pattern recognition

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Proceedings of SPIE: third international symposium on multispectral image processing and pattern recognition: Part One

Proceedings of SPIE: Third International Symposium on Multis...

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third international symposium on multispectral image processing and pattern recognition

The proceedings contains 108 papers from the conference on SPIE: third international symposium on multispectral image processing and pattern recognition: Part One. The topics discussed include: theory analysis and experimental study on the amount of information in a color night vision system;restoration of color in a remote sensing image and its quality evaluation;use of discrete chromatic space to tune the image tone in a color image mosaic;an analytical solution to camera motion using the essential matrix;a new technique creates realistic 3D free-form surfaces photographs and paintings and applications of matching Fourier transform to radar refined imaging.

关键词： Remote sensing

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Non-contact infrared temperature measurement using machine vision

Non-contact infrared temperature measurement using machine v...

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3rd international symposium on Precision Mechanical Measurements

作者： Zhong Fei Shi Tielin He Tao Zhong Yuning Hubei Univ Technol Sch Mech Engn Wuhan 430068 Hubei Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan 430074 Peoples R China

ISBN: (纸本)0819463515

Temperature monitoring is a common requirement;the thermocouples can accurately control the temperature of rotating and moving heated object, without touching it. Uncoated metal heaters are difficult for infrared sensors to measure reliably, the reflected infrared signals can change after a heated object surface is clean, the smog is rareness after the clean heated object has been burnt, when the surface is dirty and smeary, the smog is so dense that the measurement result would be influenced. In order to measuring the metal heater accurately, the measurement noise can be reduced by the machine vision. The Self-Organizing Maps (SOM) is an efficient tool for image processing. It projects input space on prototypes of a low-dimensional regular grid. In this paper a new image process technique has been validated against U-matrix method based on Euclidean distances between input vectors and neurons weights combined with the distribution of the fixed lattices in the network. SOM, as an unsupervised neural networks, is applied to pattern recognition and image processing. By analyzing and processing of the noise signals of the image, the characteristic parameters which represent operating state of the heated object are extracted to construct characteristic vector and used to train SOM, The trained results can be used to modify the sensor testing value. A new image processing scheme based on the use of the organization property of Kohonen maps are presented in this paper, the image processing result can be correct the non-contact infrared temperature measurement.

关键词： machine vision self-organizing maps infrared temperature measurement image processing

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Orientation of Fragments of Rotationally Symmetrical 3D-Shapes for Archaeological Documentation

Orientation of Fragments of Rotationally Symmetrical 3D-Shap...

引用

international symposium on 3D Data processing Visualization and Transmission

作者： Hubert Mara Robert Sablatnig Institute for Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Motivated by the requirements of modern archaeologists, we are developing a documentation system based on structured light for acquisition of ceramics. Fragments of ceramics are daily finds at excavations and important for archaeological research, because their shape leads to information about ancient cultures. The shapes used for documentation are called profile lines and estimated by a vertical cross-section of orientated fragments. As ceramics have been produced using rotational plates for several thousands of years, the rotational axis can be used for orientation. Therefore we conducted experiments using existing methods for estimation of the rotational axis. The drawbacks of these methods are the requirement of either complete objects or industrialized quality of symmetry. Therefore we show a new method using circle templates, which has been inspired by the manual method of archaeologists. In this work we present results using previous and related work in comparison with the estimation of the rotational axis using circle templates. The results of the presented methods are shown for synthetic data, well-known fragments and real data acquired at an archaeological excavation. Finally a conclusion and an outlook is given.

关键词： Documentation Ceramics Shape Orifices Principal component analysis Automation pattern recognition image processing Manufacturing Filling

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Shape matching of digital curves

Shape matching of digital curves

引用

4th international symposium on image and Signal processing and Analysis

作者： Cakmakov, D Celakoska, E Univ Sv Kiril Metodij Fac Mech Engn Dept Math & Comp Sci Skopje 1000 North Macedonia

ISBN: (纸本)953184089X

Estimation of difference between curves (curve matching) is a useful and often necessary technique in many applications, including: pattern recognition, image object recognition, robotic applications, computational geometry, etc. In this paper, three methods for curve matching using turning functions are presented. While the first two, called plain and polygonal method, are based on a simple adaptation of the existing approaches, the third one, called penalty method, is a new one and tries to overcome some important problems from the first two. The advantages and essential problems of the proposed methods are also discussed. A number of examples are presented to show major differences among the methods and their potential usefulness.

关键词： image analysis

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Error analysis and improvements of Spectral Angle Mapper (SAM) model

Error analysis and improvements of Spectral Angle Mapper (SA...

引用

MIPPR 2005: SAR and multispectral image processing

作者： Du, Peijun Chen, Yunhao Fang, Tao Tang, Hong Department of RS and GISCi China University of Mining and Technology Xuzhou City Jiangsu Province 221008 China College of Resources Science Beijing Normal University Beijing 100875 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China

Spectral Angle Mapper (SAM) model has got wide applications in hyperspectral Remote Sensing (RS) information processing. But Spectral Angle couldn't achieve satisfied performance in some cases because of its sensitivity to noises and uncertainty. Based on the analysis to traditional SAM algorithm, four types of errors and their impacts to spectral angle are investigated. In order to reduce the impacts of above errors, some improved algorithms are proposed and experimented. The first improved algorithm is grouping spectral angle algorithm. In this new algorithm all bands are divided into two sets by odd and even bands, that means two additional sub-vectors are created in addition to the original spectral vector. So three spectral angles will be computed and the minimum of three indexes is used as final index. The second improved algorithm is normalized spectral angle. In this way spectral angle is computed to the normalized vectors of two original vectors. Two approaches are used to normalize the spectral vector, and spectral angle is computed to the normalized vectors. This algorithm is able to decrease the impacts of random errors. The third algorithm is intersected spectral angle. Spectral angle is calculated by a spectral displacement strategy in this approach. That means a given displacement to change the corresponding bands of two spectral vectors is used and a spectral angle to the displaced vectors will be got. By this displacement strategy the impacts of band offset is reduced. Finally some experiments are used to test those improved algorithms. It proves that those new approaches can reduce and control the errors and improve the precision and reliability of similarity measure.

关键词： Remote sensing

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Shape matching of digital curves

Shape matching of digital curves

引用

international symposium on image and Signal processing and Analysis

作者： D. Cakmakov E. Celakoska Faculty of Mechanical Engineering Department of Mathematics and Computer Science University Sv Kiril i Metodij Macedonia

关键词： Shape Computer science Turning Mathematics Application software pattern matching pattern recognition Object recognition Robots Computational geometry

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Optical color pattern recognition based on linear models of surface and illuminant spectra

Optical color pattern recognition based on linear models of ...

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CGIV 2004 - Second European Conference on Color in Graphics, Imaging, and Vision and Sixth international symposium on multispectral Color Science

作者： Nieves, Juan L. Hernández-Andrés, Javier Valero, Eva M. Romero, Javier Departamento de Óptica Facultad de Ciendas Universidad de Granada Granada Spain

ISBN: (纸本)089208250X

Apart from shape and size, color is one of the most important characteristics in the discrimination and recognition of objects. The introduction of color information in optical pattern recognition is usually made via the multi-channel correlation technique, which decomposes the source and the target color images in three RGB channels. In this work we propose a new method for optical color pattern recognition based on the use of linear models that describe both the surface and the illuminant spectra, and we face the extension of correlation matched filter operations designed for pattern recognition. Different scenes were captured with a CCD camera and three correlation operations were used to test the model. The results show that the coefficient method derived from the linear description of images can discriminate polychromatic objects by optical correlation and leads to results that are almost independent of any spectral change in the illuminant. The discrimination capability of this method is clearly an improvement upon that obtained with the RGB multi-channel decomposition and is slightly better than other approaches used in optical correlation which are based on uniform color spaces. The method allows the use of more than three "color" components in optical pattern recognition, which can lead to better spectral surface description and accurate color object recognition.

关键词： Color image processing

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Time-frequency analysis for multi-channel color pattern recognition

Time-frequency analysis for multi-channel color pattern reco...

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2nd European Conference on Color in Graphics, Imaging, and Vision/6th international symposium on multispectral Color Science

作者： Lenz, R Hernández-Andrés, J Linkoping Univ Dept Sci & Technol SE-60174 Norrkoping Sweden

ISBN: (纸本)089208250X

Today almost all color images are captured by RGB cameras. They describe color information by three measurements only. This is too restrictive for many applications and alternative, multichannel color description techniques have thus received a lot of attention recently. In this paper we will describe some tools from time-frequency analysis and study if and how they can be used for multichannel color signal processing. We will mainly use these tools to study if they can be used to investigate problems involving scenes illuminated by different illumination sources.

关键词： Color image processing

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Enhancement and feature extraction of RS images from seismic area and seismic disaster recognition technologies

Enhancement and feature extraction of RS images from seismic...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, JF Qin, QM Peking Univ Inst Remote Sensing & GIS Beijing 100870 Peoples R China

Many types of feature extracting of RS image are analyzed, and the work procedure of pattern recognizing in RS images of seismic disaster is proposed. The aerial RS image of Tangshan Great Earthquake is processed, and... 详细信息

ISBN: (纸本)0819451819

关键词： Remote sensing Buildings Earthquakes Feature extraction image analysis image segmentation pattern recognition image processing image classification Statistical analysis

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