Free Download Ebook Learning Image Processing with OpenCV

Detail Informations

Author: Gloria Bueno Garcia, Ismael Serrano Gracia, Jesus Salido Tercero, Jose Luis Espinosa Aranda, Oscar Deniz Suarez
Isbn: 1783287659
Year: 2015
Pages: 232
Language: English
File size: 5.33 MB
File format: PDF

Ebook Descriptions

OpenCV, arguably the most widely used computer vision library, includes hundreds of ready-to-use imaging and vision functions and is used in both academia and enterprises.

This book provides an example-based tour of OpenCV’s main image processing algorithms. Starting with an exploration of library installation, wherein the library structure and basics of image and video reading/writing are covered, you will dive into image filtering and the color manipulation features of OpenCV with LUTs. You’ll then be introduced to techniques such as inpainting and denoising to enhance images as well as the process of HDR imaging. Finally, you’ll master GPU-based accelerations. By the end of this book, you will be able to create smart and powerful image processing applications with ease! All the topics are described with short, easy-to-follow examples.

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Free Download Ebook Digital Image Processing

Preface

Digital image processing is an important research area. The techniques developed in this area so far require to be summarized in an appropriate way. In this book, the fundamental theories of these techniques will be introduced. Particularly, their applications in the image enhancement are briefly summarized. The entire book consists of three chapters, which will be subsequently introduced.

Chapter 1 reveals the challenges in colour image processing in addition to potential solutions to individual problems. Chapter 2 summarises state of the art techniques for morphological process, and chapter 3 illustrates the established segmentation approach.

Contents

Content
1. Colour Image Processing
1. Colour Fundamentals
2. Colour Space
3. Colour Image Processing
4. Smoothing and sharpening
5. Image segmentation
6. Colour Image Compression
7. Summary
8. References
9. Problems
2. Morphological Image Processing
1. Mathematical morphology
2. Dilation and Erosion
3. Opening and closing
4. Hit-or-miss
5. Thinning and thicken
6. Skeleton
7. Pruning
8. Morphological reconstruction
9. Summary
10. References and further reading
11. Problems
3. Image Segmentation
1. Introduction
2. Image pre-processing – correcting image defects
3. Thresholding
4. Line and edge detection
5. Segmentation using morphological watersheds
6. Region-based segmentation
7. Texture-based segmentation
8. Segmentation by active contour
9. Object-oriented image segmentation
10. Colour image segmentation
11. Summary
12. References and further reading
13. Problems

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