Mathematical Problems in Image Processing is popular PDF and ePub book, written by Gilles Aubert in 2008-04-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Mathematical Problems in Image Processing can be Read Online from any device for your convenience.
Mathematical Problems in Image Processing Book PDF Summary
Partial differential equations and variational methods were introduced into image processing about 15 years ago, and intensive research has been carried out since then. The main goal of this work is to present the variety of image analysis applications and the precise mathematics involved. It is intended for two audiences. The first is the mathematical community, to show the contribution of mathematics to this domain and to highlight some unresolved theoretical questions. The second is the computer vision community, to present a clear, self-contained, and global overview of the mathematics involved in image processing problems. The book is divided into five main parts. Chapter 1 is a detailed overview. Chapter 2 describes and illustrates most of the mathematical notions found throughout the work. Chapters 3 and 4 examine how PDEs and variational methods can be successfully applied in image restoration and segmentation processes. Chapter 5, which is more applied, describes some challenging computer vision problems, such as sequence analysis or classification. This book will be useful to researchers and graduate students in mathematics and computer vision.
Detail Book of Mathematical Problems in Image Processing PDF
- Author : Gilles Aubert
- Release : 06 April 2008
- Publisher : Springer Science & Business Media
- ISBN : 9780387217666
- Genre : Mathematics
- Total Page : 288 pages
- Language : English
- PDF File Size : 15,7 Mb
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