Digital image processing

ISBN 978-83-60434-54-3
Author: Witold Malina, Maciej Smiatacz
Publisher: EXIT

About the book

The book presents selected methods and problems of digital image processing. It consists of nine chapters and two attachments. The book discusses operations on image pixels, histograms, image thresholding, linear and nonlinear filters, corner and edge detection, skeletonization methods, selected morphological operations and their basic applications, Hough transformation, determination of image characteristics.

Table of Contents

1. Introduction

2. Simple image transformations

2.1. Operations on pixels
2.2. Image histogram
2.3. End

3. Controlling images

3.1. Introduction
3.2. Global thresholding methods
3.3. Local and adaptive thresholding methods
3.4. multithreshold
3.5. Comments on thresholding

4. Digital filters

4.1. Line filters
4.2. Non-linear filters
4.3. End

5. Edge detection algorithms

5.1. Combined filters
5.2. Algorithms based on the Gauss operator
5.3. Canny's algorithm
5.4. Discussion of the Canny method's properties
5.5. End

6. Skeletonization methods

6.1. Introduction
6.2. Concepts used during skeletonization
6.3. thinning
6.4. Implementation of "burning grass"
6.5. MAT method
6.6. DT distance transformation
6.7. Voronoi skeleton
6.8. Contour based skeletal
6.9. End

7. Mathematical morphology in image processing

7.1. Introduction
7.2. Morphological operations on binary images
7.3. Selected morphological algorithms
7.4. Operations on images with gradation of brightness

8. Hough transformation

9. Image characteristics

9.1. Basic image parameters
9.2. Special features of the objects
9.3. moments
9.4. Other shape factors

Literature

Annex 1. Algorithms based on median filters
Annex 2. Color extraction