Description: LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more... -LTI-Lib is an object oriented computer vis ion library written in C for Windows / MS-VC and L inux / gcc. It provides lots of functionality to solve mathematical problems. many image processing algorithms. some classification tools and much more Platform: |
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Author:pierre |
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Description: 《图像处理中的数学问题（英文版）》
Mathematical Problems in Image Processing
偏微分方程和变分法用于图像处理始于15年前，从此人们一直在研究相关理论。本书向读者介绍了图像应用及相关的数学知识，本书自成一体，主要面向两类读者，一类是数学专业人士，从中他们可以了解数学对于图像处理领域的贡献，从而更致力于研究一些尚未解决的问题；另一类是计算机视觉领域人士，从中可以学到与图像处理有关数学理论。
目次：导论；数学基础理论；图像恢复；分段问题；应用问题；有限微分法导论。
读者对象：数学及计算机视觉专业的研究人员及研究生。-"Image Processing of mathematical problems (in English)" Mathematical Problem Image Processing's in partial differential equations and variational methods for image processing began 15 years ago, Since then people have been related to the study of theory. The book introduces the reader to image and the related application of mathematical knowledge, this book is self-contained, mainly for two types of readers. Mathematics is a category of professionals, from which they can understand the mathematical field of image processing for the contribution thus more dedicated to the study of some unresolved issues; Another is the field of computer vision, One can learn with image processing on mathematical theory. Contents : Introduction; Mathematical Theory; Image restoration; Question Platform: |
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Author:river_side |
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Description: LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more... -LTI-Lib is an object oriented computer vis ion library written in C for Windows/MS-VC and L inux/gcc. It provides lots of functionality to solve mathematical problems. many image processing algorithms. some classification tools and much more Platform: |
Size: 4583424 |
Author:pierre |
Hits:
Description: 《图像处理中的数学问题（英文版）》
Mathematical Problems in Image Processing
偏微分方程和变分法用于图像处理始于15年前，从此人们一直在研究相关理论。本书向读者介绍了图像应用及相关的数学知识，本书自成一体，主要面向两类读者，一类是数学专业人士，从中他们可以了解数学对于图像处理领域的贡献，从而更致力于研究一些尚未解决的问题；另一类是计算机视觉领域人士，从中可以学到与图像处理有关数学理论。
目次：导论；数学基础理论；图像恢复；分段问题；应用问题；有限微分法导论。
读者对象：数学及计算机视觉专业的研究人员及研究生。-"Image Processing of mathematical problems (in English)" Mathematical Problem Image Processing's in partial differential equations and variational methods for image processing began 15 years ago, Since then people have been related to the study of theory. The book introduces the reader to image and the related application of mathematical knowledge, this book is self-contained, mainly for two types of readers. Mathematics is a category of professionals, from which they can understand the mathematical field of image processing for the contribution thus more dedicated to the study of some unresolved issues; Another is the field of computer vision, One can learn with image processing on mathematical theory. Contents : Introduction; Mathematical Theory; Image restoration; Question Platform: |
Size: 4072448 |
Author:river_side |
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Description: 本书介绍了一些常用的图论模型以及图论在通信，统计，优化，图像处理，机器学习等方面的应用-The formalism of probabilistic graphical models provides a unifying
framework for capturing complex dependencies among random
variables, and building large-scale multivariate statistical models.
Graphical models have become a focus of research in many statistical,
computational and mathematical fields, including bioinformatics,
communication theory, statistical physics, combinatorial optimization,
signal and image processing, information retrieval and statistical
machine learning. Many problems that arise in specific instances —
including the key problems of computing marginals and modes of
probability distributions — are best studied in the general setting.
Working with exponential family representations, and exploiting the
conjugate duality between the cumulant function and the entropy
for exponential families, we develop general variational representations
of the problems of computing likelihoods, marginal probabilities
and most probable configurations. We describe how Platform: |
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Author:万毅 |
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Description: LTI库是一个面向对象的计算机视觉库写在C++视窗/余-VC++和Linux的/gcc.它提供了很多功能来解决数学问题、图像处理算法很多,有些工具和分类得多-LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more... Platform: |
Size: 4583424 |
Author:TealCh |
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Description: 线性时不变化图书馆是一个面向对象的计算机视觉库在C + +编写的Windows /的MS - VC + +和Linux的/海湾合作委员会。它提供了很多功能来解决数学问题，许多图像处理算法，一些分类的工具-LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
Platform: |
Size: 3504128 |
Author:shanwei |
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Description: 图像处理中的数学问题，变分偏微分角度讲述，很推荐的一本书，第二版。-Mathematical Problems in Image Processing Partial Differential Equations and the
Calculus of Variations
Second Edition Platform: |
Size: 10733568 |
Author:jamesyang |
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Description: 一篇关于在图像处理过程中遇到的数学问题的解析，推理过程，英文版-Analytical article on the mathematical problems encountered in image processing, the reasoning process, English Platform: |
Size: 1016832 |
Author:michelle |
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Description: 一本介绍数学反问题的基础教材，对图像处理及其他反问题感兴趣的可以看一下。-An introduction mathematical inverse problem of basic teaching materials, interested in image processing and other anti-look. Platform: |
Size: 4187136 |
Author:马东波 |
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Description: 基于蚁群算法的机器人的路径规划问题蚁群算法，一种与传统的数学规划原理截然不同的，模拟自然生态系统以求解复杂优化问题(如NPC(NP Complete)类问题，典型的有TSP(Traveling Saleman Problem)问题)的仿生优化算法，因其较强分布式计算机制、鲁棒性、易于与其他方法相结合等优点，使得蚁群算法具有较广泛应用领域，为那些最优化技术难以解决的组合优化问题提供了一类新的切实可行的解决方案。从最初的一维的静态优化问题扩展到多维的动态组合优化问题，包括车辆路径规划，工程设计，电力系统，图像处理，通讯系统，机器人系统，以及制造系统等领域。该文所研究的内容是其中之一——机器人的路径规划问题。
机器人路径规划是机器人学的一个重要研究领域，引起了众多研究者的关注。栅格法模型是众多环境建模方法中的一类实时性很强的路径规划模型。该文引入蚁群算法的基本思想，接着在基本蚁群算法上提出改进策略，并通过经典的旅行商问题验证改进蚁群算法的正确性，然后在改进的蚁群算法的基础上使用栅格法的路径规划策略, 并编制相应程序进行验证。
-Ant colony optimization, a mathematical programming with the traditional principle distinct simulate natural ecosystems to solve complex optimization problems (such as the NPC (NP Complete) class of problems, typically a TSP (Traveling Saleman Problem) problem) bionic optimization algorithm , because of its strong distributed computer system, robustness, ease combined with other methods, etc., makes the ant colony algorithm has a wider application areas, for those most difficult to solve optimization combinatorial optimization problems provide a new class of practical solutions. From the initial one-dimensional static optimization problem extended to multi-dimensional dynamic combinatorial optimization problems, including vehicle path planning, engineering design, power systems, image processing, communication systems, robotic systems, and manufacturing systems. In this paper, the contents of the study is one of these- robot path planning issues. Platform: |
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Author:lin |
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Description: The aims to give the students the fundamentals of digital image processing,
covering topics from the following list: image models and physical imaging systems;
visual perception; rendering systems; linear filtering; linear transforms; mathematical
morphology; compression; tomographic image reconstruction; inverse problems in
imaging; image enhancement; edge detection; feature extraction; and geometric
diffusion. Platform: |
Size: 31744 |
Author:Khan17
|
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Description: 这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。
这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。
MATLAB和IDL代码伴随这些方法和应用程序重现。
实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms,
and non-linear multiscale transforms based on the median and mathematical
morphology operators. Recent concepts of sparsity and morphological diversity are described
and exploited for various problems such as denoising, inverse problem regularization,
sparse signal decomposition, blind source separation, and compressed sensing.
This book weds theory and practice in examining applications in areas such as astronomy,
biology, physics, digital media, and forensics. A final chapter explores a paradigm
shift in signal processing, showing that previous limits to information sampling and
extraction can be overcome in very significant ways.) Platform: |
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Author:lxfei73 |
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Search - Mathematical problems In Image processing