Digital image processing methods

In order to use the image effectively as a source of information, it should be digitized. A digital image is the starting point for computer image processing.

This book presents selected methods and problems of digital image processing. It consists of eight chapters and attachments, which discuss operations on image pixels, histograms, image thresholding, linear and nonlinear filters, edge detection, skeletonization methods, selected morphological operations, Hough transformation, determination of image characteristics.

The book contains your own thoughts on the authors and a lot of examples. It is addressed to students and a wide range of specialists in various fields who want to quickly master the basics of image processing.

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Table of Contents

1. Introduction

2. Simple methods of transforming images

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

3. Digital filters

3.1. Line filters
3.2. Non-linear filters

4. Edge detection algorithms

4.1. Combined filters
4.2. Algorithms based on the Gauss operator
4.3. Canny's algorithm
4.4. Discussion of the Canny method's properties
4.5. End

5. Skeletonization methods

5.1. Introduction
5.2. Concepts used during skeletonization
5.3. thinning
5.4. Implementation of "burning grass"
5.5. MAT method
5.6. DT distance transformation
5.7. Voronoi skeleton
5.8. End

6. Mathematical morphology in image processing

6.1. Introduction
6.2. Basic morphological operations on binary images
6.3. Selected morphological algorithms
6.4. Operations on images with many shades of brightness

7. Hough transformation

8. Image characteristics

8.1. Basic image parameters
8.2. Special features of the objects
8.3. moments
8.4. Other shape factors

Literature

Attachment. Algorithms based on median filters

1. Weighted median filters
2. Detecting and sharpening the edges
3. Zooming the image