A beginner’s guide to image preprocessing techniques

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Author(s): Chaki, Jyotismita; Dey, Nilanjan
Series: CRC focus series; Intelligent signal processing and data analysis
Publisher: CRC Press
Year: 2019

Language: English
Pages: 100

Cover......Page 1
Half Title......Page 2
Series Page......Page 3
Title Page......Page 4
Copright Page......Page 5
Contents......Page 6
Preface......Page 10
Authors......Page 14
1.2 Complications to Resolve Using Image Preprocessing......Page 16
1.2.1 Image Correction......Page 17
1.2.2 Image Enhancement......Page 19
1.2.3 Image Restoration......Page 21
1.2.4 Image Compression......Page 22
1.3 Effect of Image Preprocessing on Image Recognition......Page 24
1.4 Summary......Page 25
References......Page 26
2.1 Position-Dependent Brightness Correction......Page 28
2.2.1 Linear Transformation......Page 29
2.2.2 Logarithmic Transformation......Page 32
2.2.3 Power-Law Transformation......Page 34
References......Page 38
3.1 Pixel Coordinate Transformation or Spatial Transformation......Page 40
3.1.1 Simple Mapping Techniques......Page 41
3.1.3 Nonlinear Mapping......Page 44
3.2 Brightness Interpolation......Page 46
3.2.1 Nearest Neighbor Interpolation......Page 47
3.2.2 Bilinear Interpolation......Page 49
3.2.3 Bicubic Interpolation......Page 50
3.3 Summary......Page 51
References......Page 52
4.1.1 Linear Filter (Convolution)......Page 54
4.1.3 Smoothing Filter......Page 55
4.1.4 Sharpening Filter......Page 57
4.2 Frequency Filter......Page 58
4.2.1.1 Ideal Low-Pass Filter (ILP)......Page 59
4.2.1.2 Butterworth Low-Pass Filter (BLP)......Page 60
4.2.1.3 Gaussian Low-Pass Filter (GLP)......Page 61
4.2.2 High Pass Filter......Page 62
4.2.2.1 Ideal High-Pass Filter (IHP)......Page 63
4.2.2.3 Gaussian High-Pass Filter (GHP)......Page 64
4.2.3.1 Ideal Band Pass Filter (IBP)......Page 65
4.2.3.3 Gaussian Band Pass Filter (GBP)......Page 66
4.2.4.2 Butterworth Band Reject Filter (BBR)......Page 67
References......Page 68
5.1.1 Histogram Shape-Based Thresholding......Page 72
5.1.2 Clustering-Based Thresholding......Page 74
5.1.3 Entropy-Based Thresholding......Page 77
5.2.1 Roberts Edge Detector......Page 78
5.2.4 Kirsch Edge Detector......Page 79
5.2.5 Robinson Edge Detector......Page 80
5.2.6 Canny Edge Detector......Page 81
5.2.7 Laplacian of Gaussian (LoG) Edge Detector......Page 82
5.2.8 Marr-Hildreth Edge Detection......Page 83
5.4 Summary......Page 84
References......Page 85
6.1.1 Erosion......Page 88
6.1.2 Dilation......Page 90
6.1.4 Closing......Page 91
6.1.6 Thinning......Page 92
6.2 Grayscale Morphology......Page 93
6.2.3 Opening......Page 94
6.3 Summary......Page 95
References......Page 96
7.1 Preprocessing of Color Images......Page 98
7.2 Image Preprocessing for Neural Networks and Deep Learning......Page 105
7.3 Summary......Page 109
References......Page 110
Index......Page 114