检索结果-内蒙古大学图书馆

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： D. Schonfeld J. Goutsias Department of Electrical and Computer Engineering Image Analysis and Communications Laboratory Johns Hopkins University Baltimore MD USA

A general theory for the morphological representation of discrete and binary images is presented. Particular cases of the general scheme are shown to yield a number of useful image representations. The effect of noise degradation is studied. It is proven that, under certain assumptions, the general reduced morphological skeleton is the best morphological representation among a collection of invertible morphological image representations. This representation results in a minimal upper-bound on the average probability of error of reconstructing a binary image from its noisy representation.< >

关键词： image representation Noise robustness Degradation Skeleton image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Consistency and convexity in object reconstruction from projections

Consistency and convexity in object reconstruction from proj...

引用

IEEE International Conference on Systems engineering

作者： J.L. Prince Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

A projection-space approach for reconstruction from projections is presented. This approach uses the known convex support of the object both as a penalty term in a variational problem defined in projection-space and as a guide to the specification of optimal smoothing coefficients that may vary spatially. Partial consistency of the sinogram is provided by including mass and center-of-mass constraints in the variational formulation. An outline of the general approach and calculations for a specific example are provided. computer simulations are provided for evaluation of the performance in this special case

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Iterative Approach To Sinogram Restoration

An Iterative Approach To Sinogram Restoration

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： J.L. Prince Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

来源：评论

学校读者我要写书评

暂无评论

image reconstruction based on human and monkey cone mosaics

引用

Journal of Visual Communication and image Representation 1990年第2期1卷 137-152页

作者： Costaridou, Lena Stefanou, Spyros Hirsch, Joy Orphanoudakis, Stelios Image Analysis and Computer Vision Laboratory Institute of Computer Science Foundation of Research and Technology-Hellas Heraklion Crete Greece Department of Ophthalmology and Visual Science Yale University New Haven CT United States Image Analysis and Computer Vision Laboratory Institute of Computer Science Foundation of Research and Technology-Hellas Heraklion Crete Greece Departments of Diagnostic Imaging and Electrical Engineering Yale University New Haven CT United States

The image reconstruction capacity of the actual foveal cone sampling mosaics of an adult monkey and human is investigated through computer simulations. A retinocortical mapping model in which positions are known and disorder is compensated (DC) has been implemented using classical Whittaker-Kotelnikov-Shannon (WKS) reconstruction theory and a two-dimensional hexagonal tessellation technique that maps the cone lattice onto a perfectly hexagonal grid. The DC model has been compared with a retinocortical mapping model in which cone positions are also known but position disorder is uncompensated (DU) in the reconstruction process. A control model has also been implemented using WKS reconstruction based on sampled data obtained with simulated perfectly hexagonal lattices whose Nyquist limits are equivalent to those of the human and monkey lattices. Quantitative comparisons of these models are based on the RMS error per pixel between the original and reconstructed images. Results of these simulations demonstrate a pronounced superiority of the DC over the DU model. The results of these simulations, which use "biologically correct" sampling lattices, document a potential image reconstruction advantage when foveal cone positions are known. © 1990.

关键词：

来源：评论

学校读者我要写书评

暂无评论

image coding via morphological transformations: a general theory

Image coding via morphological transformations: a general th...

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： J. Goutsias D. Schonfeld Department of Electrical and Computer Engineering Image Analysis and Communications Laboratory Johns Hopkins University Baltimore MD USA

A general theory for the morphological representation of discrete and binary images is presented. The theory relies on the generation of a set of nonoverlapping segments of an image by repeated erosions and set transformations, which in turn produces a decomposition that guarantees exact reconstruction. The morphological image-representation transform and its properties are examined, with focus on the relationship between the transform and some existing shape-analysis tools, thus introducing the transform as the basis of a unified geometrical image analysis. Particular cases of the general representation scheme are shown to yield a number of useful image representations which are directly related to various forms of digital morphological skeletons. Also considered is the relationship between the transform and the various forms of morphological skeletons.< >

关键词： image coding Discrete transforms image analysis image representation Skeleton Shape Morphology Geometry Laboratories image segmentation

来源：评论

学校读者我要写书评

暂无评论

Parametric morphological filters for pattern restoration

Parametric morphological filters for pattern restoration

引用

Multidimensional Signal Processing Workshop

作者： D. Schonfeld J. Goutsias Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

Summary form only given. A theoretical study of parametric morphological filters that best preserve the crucial topological structure of an input binary image from its noisy version is reported. The topological structure of the input binary image is given, and an arbitrary restoration filter is considered. A collection C of necessary and sufficient conditions for this filter to guarantee the restoration of a binary image from its noisy version, such that the input and restored images have identical topological structure, is derived. It is proved that each of the constraints in C generates a morphological filter. The approach used is to obtain a parametric filter that simultaneously satisfies as many of the constraints in C as possible.< >

关键词： Filters image restoration image analysis Filtering theory Morphology Laboratories image processing Sufficient conditions Geometry Acoustics

来源：评论

学校读者我要写书评

暂无评论

Partial shape recognition: a landmark-based approach

Partial shape recognition: a landmark-based approach

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： N. Ansari E.J. Delp Center for Communications and Signal Processing Electrical and Computer Engineering Department New Jersey Institute of Technology Newark NJ USA Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University IN USA

A technique to guide landmark matching known as hopping dynamic programming is described. The location of the model in the scene is estimated with a least-squares fit. A heuristic measure is then computed to decide if the model is in the scene. The shape features of an object are the landmarks associated with the object. The landmarks of an object are defined as the points of interest of the object that have important shape attributes. Examples of landmarks are corners, holes, protrusions, and high-curvature points.< >

关键词： Shape measurement Layout computer vision Pattern recognition Signal processing image processing Laboratories Performance evaluation Least squares approximation Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A fast algorithm for the morphological coding of binary images

A fast algorithm for the morphological coding of binary imag...

引用

Visual communications and image Processing III 1988

作者： Schonfeld, Dan Goutsias, John Department of Electrical and Computer Engineering Image Analysis and Communications Laboratory Johns Hopkins University BaltimoreMD21218 United States

In this paper we investigate the computational performance of a number of morphological skeletons. We also develop the reduced-cardinality geometric-step morphological skeleton which is shown to achieve logarithmic computational complexity, compared to the linear computational complexity of the uniform-step morphological skeleton, when implemented on a large neighborhood pipelined morphological processor. Furthermore, an upper bound on the skeleton cardinality is derived. © 1988 SPIE. All rights reserved.

关键词： Computational complexity

来源：评论

学校读者我要写书评

暂无评论

A comparative study of two useful discrete-valued random fields for the statistical modeling of images

A comparative study of two useful discrete-valued random fie...

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： J. Goutsias Department of Electrical and Computer Engineering Image Analysis and Communications Laboratory Johns Hopkins University Baltimore MD USA

The author presents two interesting discrete-valued random fields for the statistical modeling and analysis of random images. The first random field, the mutually compatible Gibbs random field, is a special nontrivial case of a general Gibbs random field, whereas the second random field, the semi-Markov random field is a non-Markovian generalization of a mutually compatible Gibbs random field.< >

关键词： Lattices Probability image analysis Random variables Markov random fields Laboratories Entropy Transfer functions Computational modeling Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Mutually compatible Gibbs images: properties, simulation and identification

Mutually compatible Gibbs images: properties, simulation and...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： J. Goutsias Department of Electrical and Computer Engineering Image Analysis and Communications Laboratory Johns Hopkins University Baltimore MD USA

Presents a unified theory for the description of Gibbs images that allows one to answer some very important theoretical and practical questions about their statistical behavior. The author first introduces the local transfer function and derives the Gibbs measure in terms of this function. He restricts the derived probability structure to satisfy the property of mutual compatibility thus resulting in the subclass of mutually compatible Gibbs images. The author reviews their properties and briefly discusses various issues related to their simulation and identification. Simulation results from the area of texture analysis and synthesis are presented, in order to demonstrate various aspects of the theory.< >

关键词： Probability Computational modeling Analytical models image texture analysis Phase measurement Lattices Random variables computer simulation Laboratories Transfer functions

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：