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内容提要:
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。 编辑推荐:
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。
目录:
Foreword Preface Guide to the Main Mathematical Concepts and Their Application Notation and Symbols Introduction 1.1 The Image Society 1.2 What Is a Digital Image? 1.3 About Partial Differential Equations (PDEs) 1.4 Detailed Plan Mathematical Preliminaries How to Read This Chapter 2.1 The Direct Method in the Calculus of Variations 2.1.1 Topologies on Banach Spaces 2.1.2 Convexity and Lower Semicontinuity 2.1.3 Relaxation 2.1.4 About F-Convergence 2.2 The Space of Functions of Bounded Variation 2.2.1 Basic Definitions on Measures 前言:
It is surprising when we realize just how much we are surrounded by images. Images allow us not only to perform complex tasks on a daily basis, but also to communicate, transmit information, and represent and understand the world around us. Just think, for instance, about digital television, medical imagery, and video surveillance. The tremendous development in information technology accounts for most of this. We are now able to handle more and more data. Many day-to-day tasks are now fully or partially accomplished with the help of computer..
序言:
Image processing, image analysis, computer vision, robot vision, and machine vision are terms that refer to some aspects of the process of computing with images. This process has been made possible by the advent of computers powerful enough to cope with the large dimensionality of image data and the complexity of the algorithms that operate on them.
In brief, these terms differ according to what kind of information is used and output by the process. In image processing the information is mostly the intensity values at the pixels, and the ou..
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