Practical Computer Vision with SimpleCV by Kurt Demaagd -- Read -- Imperial Library of Trantor

Index

Practical Computer Vision with SimpleCV Preface

Conventions Used in This Book Using Code Examples Safari® Books Online How to Contact Us

1. Introduction

Why Learn Computer Vision What Is the SimpleCV Framework? What Is Computer Vision? Easy Versus Hard Problems What Is a Vision System?

Filtering Input Extracting Features and Information

2. Getting to Know the SimpleCV Framework

Installation

Windows Mac Linux Installation from Source

Hello World The SimpleCV Shell

Basics of the Shell The Shell and The Filesystem

Introduction to the Camera

A Live Camera Feed

The Display Examples

Time-Lapse Photography A Photo Booth Application

3. Image Sources

Overview Images, Image Sets, and Video

Sets of Images

The Local Camera Revisited The XBox Kinect

Installation Using the Kinect Kinect Examples

Networked Cameras

IP Camera Examples

Using Existing Images

Virtual Cameras

Examples

Converting Set of Images Segmentation with the Kinect Kinect for Measurement Multiple IP Cameras

4. Pixels and Images

Pixels Images

Bitmaps and Pixels Image Scaling Image Cropping Image Slicing

Transforming Perspectives: Rotate, Warp, and Shear

Spin, Spin, Spin Around Flipping Images Shears and Warps

Image Morphology

Binarization Dilation and Erosion

Examples

The SpinCam Warp and Measurement

5. The Impact of Light

Introduction Light and the Environment

Light Sources Light and Color The Target Object Lighting Techniques

Color Color and Segmentation Example

6. Image Arithmetic

Basic Arithmetic Histograms Using Hue Peaks Binary Masking Examples

Creating a Motion Blur Effect Chroma Key (Green Screen)

7. Drawing on Images

The Display Working with Layers Drawing Text and Fonts Examples

Making a Custom Display Object Moving Target Image Zoom

8. Basic Feature Detection

Blobs

Finding Blobs Finding Dark Blobs Finding Blobs of a Specific Color

Lines and Circles

Lines Circles

Corners Examples

9. FeatureSet Manipulation

Actions on Features FeatureSet Properties FeatureSet Sorting and Filtering Cropping FeatureSets Measuring Features

Quarter for Scale

Blobs and Convex Hulls Inside a Blob Rotating Blobs Example: Tracking a Circle (Ball)

10. Advanced Features

Bitmap Template Matching Keypoint Template Matching Optical Flow Haar-like Features Barcode Examples

Barcode Scanner Mustacheinator

A. Advanced Shell Tips

Macro Magic Run and Edit Python Scripts Timing

B. Cameras and Lenses

Cameras and Digital Sensors Lenses

C. Advanced Features

Foreground/Background Segmentation

Frame Differencing Segmentation Running Segmentation Color Segmentation

Feature Extractors

Edge Histograms Haar Features Hue Histogram Morphology Revisited

Examples

Target Tracking Color Game

About the Authors Copyright

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