finelybook
Modern Algorithms for Image Processing: Computer Imagery by Example Using C#
Authors: Vladimir Kovalevsky
ISBN-10 书号: 148424236X
ISBN-13 书号: 9781484242360
Edition 版本: 1st ed.
Publisher Finelybook 出版日期: 2018-12-11
pages 页数: 274 pages
Book Description
Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects in this book.
Modern Algorithms for Image Processing approaches the topic of image processing through teaching by example. Throughout the book,you will create projects that resolve typical problems that you might encounter in the world of digital image processing. Some projects teach you methods for addressing the quality of images,such as reducing random errors or noise and suppressing pulse noise (salt and pepper),a method valuable for improving the quality of historical images. Other methods detail how to correct inhomogeneous illumination,not by means of subtracting the mean illumination,but through division,a far more efficient method. Additional projects cover contrasting,and a process for edge detection,more efficient than Canny’s,for detecting edges in color images directly,without converting them into black and white images.
What You’ll Learn
Apply innovative methods for suppressing pulse noise,enhancing contrast,and edge detection
Know the pros and cons of enlisting a particular method
Use new approaches for image compression and recognizing circles in photos
Utilize a valuable method for straightening photos of paintings taken at an oblique angle,a critical concept to understand when using flash at a right angle
Understand the problem statement of polygonal approximation of boundaries or edges and its solution
Use a new method for detecting bicycles in traffic
Access complete source code examples in C# for all of the projects
Cover
Part l.Image Processing
1.Introduction
2.Noise Reduction
3.Contrast Enhancement
4.Shading Correction with Thresholding
5.Project WFshadBinlmpulse
Partll.Image Analysis
6.Edge Detection
7.A New Method of Edge Detection
8.A New Method of lmage Compression
9.lmage Segmentation and Connected Components
10.Straightening Photos of Paintings
11.Polygonal Approximation of Region Boundaries and Edges
12.Recognition and Measurement of Circular Objects
13.Recognition of Bicycles in Traffic
14.A Computer Model of Cel Differentiation
