检索结果-内蒙古大学图书馆

1997 IEEE International Conference on Acoustics, Speech, and signal processing (ICASSP 97)

作者： Bradshaw, DB Kingsbury, NG Univ of Cambridge Cambridge United Kingdom

ISBN: (纸本)0818679204

The technique outlined in this paper extends the ability of current warping motion estimation schemes to allow occlusion and uncovering effects to be modelled. Current methods, [1], [2], [4], use a continuous rubber sheet approach, consisting of non-overlapping polygons. The new technique estimates and compensates affine and then translational motion within the scene. The latter is achieved by allowing polygons to overlap through the introduction of rips into the sheet which are located in areas where occlusion or uncovering is thought to occur. Results show a reduction in the prediction error when compared to both traditional block-based methods and recently developed warping schemes (without rips).

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Multiscale contrast enhancement of medical images

Multiscale contrast enhancement of medical images

引用

1997 IEEE International Conference on Acoustics, Speech, and signal processing (ICASSP 97)

作者： Boccignone, G Picariello, A Universita' di Salerno Salerno Italy

ISBN: (纸本)0818679204

We presents results obtained by different contrast enhancement methods applied to medical images. We take into account classical histogram specification, local and wavelet-based techniques and a novel approach for multiscale contrast enhancement. The latter, whose rationale grounds in theories of visual perception, exploits a local definition of the Fechner-Weber's contrast within the-context of a non-linear scale-space representation generated by anisotropic diffusion. Our experimental fields concerns a difficult kind of medical images, namely digital mammographic images.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Maximum likelihood estimation of blur from multiple observations

Maximum likelihood estimation of blur from multiple observat...

引用

1997 IEEE International Conference on Acoustics, Speech, and signal processing (ICASSP 97)

作者： Rajagopalan, AN Chaudhuri, S Indian Inst of Technology Bombay India

ISBN: (纸本)0818679204

A limitation of the existing maximum likelihood (ML) based methods for blur identification is that the estimate of blur is poor when the blurring is severe. In this paper, we propose an ML-based method for blur identification from multiple observations of a scene. When the relations among the blurring functions of these observations me known, we show that the estimate of blur obtained by using the proposed method is very good. The improvement is particularly significant under severe blurring conditions. With an increase in the number of images, direct computation of the likelihood function, however, becomes difficult as it involves calculating the determinant and the inverse of the cross-correlation matrix. To tackle this problem, we propose an algorithm that computes the likelihood function recursively as more observations are added.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

neural and stochastic methods in image and signal processing ii

Neural and Stochastic Methods in Image and Signal Processing...

引用

neural and stochastic methods in image and signal processing ii 1993

The proceedings contain 29 papers. The topic discussed include: algorithm for classification of multispectral data and its implementation on a massively parallel computer;convergence measure and some parallel aspects of Markov-chain Monte Carlo algorithms;evidential reasoning based on Dempster-Shafer theory and its application to medical image analysis;cluster approximations for statistical image processing;image recovery and segmentation using competitive learning in a layered network;feature competition and domain of attraction in artificial-perceptron pattern recognizer;and probabilistic spectral feature extraction technique for neural networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A new textured image segmentation algorithm by autoregressive modelling and multiscale block classification

A new textured image segmentation algorithm by autoregressiv...

引用

1997 Sixth International Conference on image processing and Its Applications

作者： I. Claude A. Smolarz Université de Technologie de Troyes France

Usually, we begin the analysis of an image by partitioning it into several homogeneous regions; this is the image segmentation. The homogeneity can be defined by many properties such as gray level intensity, color, texture, etc. In many cases, the texture is the only available information. Texture analysis, as a result, has received considerable attention for the last two decades. A large number of approaches for texture classification and segmentation have been suggested. Commonly, two types of approaches are distinguished, adapted respectively to macro- and microtextures, namely, the structural and statistical approaches. As far as the latter is concerned, we can cite probabilistic methods based on texture modelling, statistical methods which characterize an image in terms of numerical attributes or features and new tools like neural networks, wavelets, multiresolution and multiscale approaches, and fuzzy modelling. A few methods also come from signal processing and seem to be promising: bidimensional autoregressive modelling and, time-frequency and time-scale representations. We focus on stochastic approaches and, specifically, on texture modelling by bidimensional autoregressive models (2D-AR models). We describe the AR model; we propose our method for choosing an adapted neighbourhood and evaluation. Then, our segmentation algorithm is presented with the classification criterion and the contextual information. Finally, we present experimental results showing the influence of the context and demonstrating the improvements brought by the adapted models and the multiscale approach.

关键词： image texture analysis

来源：评论

学校读者我要写书评

暂无评论

A hardware annealing method for optimal solutions on cellular neural networks

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS ii-ANALOG AND DIGITAL signal processing 1996年第6期43卷 409-421页

作者： Bang, SH Sheu, BJ Chou, EY UNIV SO CALIF DEPT BIOMED ENGNLOS ANGELESCA 90089

An engineering annealing method, called hardware annealing method, for optimal solutions on cellular neural networks is presented, Cellular neural networks have great potential in solving many important scientific problems in signal processing and optimization by use of pre-determined templates, Hardware annealing, which is a parallel version of effective mean-field annealing in analog networks, is a highly efficient method to find optimal solutions on cellular neural networks, It does not require any iterative stochastic procedure and henceforth can be very fast, The landscape of the network energy function is first adapted so that the whole annealing process does not get stuck at a local minimum at the beginning of searching for optimal solutions by adjusting each neuron to a low voltage gain, Then, the hardware annealing searches for the globally minimum energy state by continuously increasing the gain of neurons, The globally optimal equilibrium state is reached when each neuron is at its maximum voltage gain. The robustness of this proposed hardware annealing method for global optimization is assessed by analysis of the eigenvalues in a corresponding dynamical system model.

关键词： Annealing Cellular neural networks Neurons neural network hardware signal processing stochastic processes Low voltage Energy states Robustness Optimization methods

来源：评论

学校读者我要写书评

暂无评论

A unified eigenfilter approach to the design of two-dimensional zero-phase FIR filters with the McClellan transform

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS ii-ANALOG AND DIGITAL signal processing 1996年第8期43卷 622-626页

作者： Chen, H Ford, GE Center for Image Processing and Integrated Computing University of California Davis CA USA

A unified Eigenfilter approach is proposed for determining the mean-square-optimal coefficients of the McClellan transformation. The approach applies to all filter shapes without the use of prior knowledge of the properties of the coefficients. Several design examples for arbitrarily shaped and oriented 2-D fan, elliptical, and diamond filters are given to demonstrate the results achieved with this method. Comparisons with other recently published methods are made to demonstrate the advantages of our method.

关键词： Finite impulse response filter Shape Design methodology neural networks Symmetric matrices image processing Circuits Digital signal processing Frequency response Optimization methods

来源：评论

学校读者我要写书评

暂无评论

Weighted median filters: A tutorial

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS ii-ANALOG AND DIGITAL signal processing 1996年第3期43卷 157-192页

作者： Yin, L Yang, RK Gabbouj, M Neuvo, Y PORI TAMPERE UNIV TECHNOL DEPT INFORMAT TECHNOLTAMPEREFINLAND NOKIA MOBILE PHONES RES & DEV CTR ESPOOFINLAND

Weighted Median (WM) filters have attracted a growing number of interest in the past few years. They inherent the robustness and edge preserving capability of the classical median filter and resemble linear FIR fitters in certain properties. Furthermore, WM filters belong to the broad class of nonlinear filters called stack filters. This enables the use of the tools developed for the latter class in characterizing and analyzing the behavior and properties of WM filters, e.g. noise attenuation capability. The fact that WM filters are threshold functions allows the use of neural network training methods to obtain adaptive WM filters. In this tutorial paper we trace the development of the theory of WM filtering from its beginnings in the median filter to the recently developed theory of optimal weighted median filtering. The following one and multidimensional applications are presented in this paper: idempotent weighted median filters for speech processing, adaptive weighted median and optimal weighted median filters for image and image sequence restoration, weighted medians as robust predictors in DPCM coding and Quincunx coding, and weighted median filters in scan rate conversion in normal TV and HDTV systems.

关键词： Tutorial Finite impulse response filter Adaptive filters Nonlinear filters Filtering theory Robustness image coding Attenuation neural networks Speech processing

来源：评论

学校读者我要写书评

暂无评论

Fusion of intensity and feature based analysis for matching of corresponding points

Fusion of intensity and feature based analysis for matching ...

引用

3rd International Conference on signal processing (ICSP 96)

作者： Hetzheim, H German AeroSpace Research Establishment Institute for Space Sensor Technology Berlin Germany

ISBN: (纸本)7505338900

This paper is concerned with the identification of corresponding points in curves related together, as time series, or in epipolar lines of stereo images. The properties of the corresponding points are defined by the near neighbourhood but also further points which are related to the corresponding point. Filtering with special non-linearities is applied to suppress non-relevant information and to find interrelations. For this the curves are represented by non-linear stochastic differential equations. The properties of the curves are obtained by the estimation of the expectation values of these stochastic equations and represented by different fuzzy measures. The corresponding points are determined by fusion of information obtained from different properties related to a special corresponding point with the help of fuzzy integrals. Using filtering and fuzzy integration of properties, feature and intensity based methods are combined.

关键词： stochastic processes image edge detection Space technology stochastic systems image sensors Information filtering Information filters Differential equations Integral equations Nonlinear equations

来源：评论

学校读者我要写书评

暂无评论

neural network classifier of jalapeno chile using imaging

Neural network classifier of jalapeno chile using imaging

引用

3rd International Conference on signal processing (ICSP 96)

作者： Hahn, F Zapata, JL Instituto Tecnologico de la Laguna Coahuila Mexico

ISBN: (纸本)7505338900

Automatic sorting in the canning industry is searching for simple methods for classifying automatically the products. Reliable classifiers can use discriminant analysis but the actual technology available with neural networks is growing everyday due to its advantages of experience-based learning, generalization, graceful degradation and fault tolerance. In this paper we present a neural network classifier of jalapeno chile based on chile images obtained with a CCD camera. after being singulated. The image is processed and the noise outside from its perimeter eliminated before calculating features as area length and angle. The area, length under different angles are introduced as training data to a propagation algorithm which classifies chiles in three different categories.

关键词： vision neural networks chile jalapeno

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：