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Raspberry Pi Computer Vision Programming



Raspberry Pi Computer Vision Programming

Author: Ashwin Pajankar

Publisher: Packt Publishing

Genres:

Publish Date: May 28, 2015

ISBN-10: 1784398284

Pages: 178

File Type: EPub

Language: English

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Book Preface

Raspberry Pi was developed as a low-cost single-board computer with the intention of promoting computer science education in schools. It also represents a welcome return to a simple and fun yet effective way to learn computer science and programming.

You can use Raspberry Pi to learn and implement concepts in computer vision.

With a $35 Raspberry Pi computer and a USB webcam, anyone can afford to become a pro in computer vision in no time and build a real-life computer vision application to impress friends and colleagues.

What this book covers

Chapter 1, Introduction to Computer Vision and Raspberry Pi, takes you through the introduction and initial setup of Raspberry Pi and computer vision.

Chapter 2, Working with Images, Webcams, and GUI, teaches you how to work with images, videos, and various cameras.

Chapter 3, Basic Image Processing, explores arithmetic and logical operations on images.

Chapter 4, Colorspaces, Transformations, and Thresholds, introduces you to colorspaces and conversions, which are then followed by a simple project. This chapter also explores geometric transformations and segmentation by thresholding.

Chapter 5, Let’s Make Some Noise, teaches the basics of noise in digital images and low-pass filters. It also discussed their usage in the removal of noise from images.

Chapter 6, Edges, Circles, and Lines’ Detection, explores high-pass filters and their applications. It also explores the detection of features like edges, circles, and lines.

Chapter 7, Image Restoration, Quantization, and Depth Map, explores image restoration by inpainting. It also teaches image segmentation, quantization, and depth maps.

Chapter 8, Histograms, Contours, Morphological Transformations, and Performance Measurement, introduces the readers to histograms and plotting. It explores the concepts of contours and morphological transformations on an image. It concludes with the basics of performance measurement and improvement.

Chapter 9, Real-life Computer Vision Applications, implements various real-life applications of computer vision using Raspberry Pi and a webcam.

Chapter 10, Introduction to SimpleCV, teaches the installation and usage of SimpleCV, a powerful yet simple computer vision library, and concludes with a few real-life projects.


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