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OpenCV with Python By Example

You're reading from   OpenCV with Python By Example Build real-world computer vision applications and develop cool demos using OpenCV for Python

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781785283932
Length 296 pages
Edition 1st Edition
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Author (1):
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Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (14) Chapters Close

Preface 1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Creating a Panoramic Image 7. Seam Carving 8. Detecting Shapes and Segmenting an Image 9. Object Tracking 10. Object Recognition 11. Stereo Vision and 3D Reconstruction 12. Augmented Reality Index

Identifying the pizza with the slice taken out


The title might be slightly misleading, because we will not be talking about pizza slices. But let's say you are in a situation where you have an image containing different types of pizzas with different shapes. Now, somebody has taken a slice out of one of those pizzas. How would we automatically identify this?

We cannot take the approach we took earlier because we don't know what the shape looks like. So we don't have any template. We are not even sure what shape we are looking for, so we cannot build a template based on any prior information. All we know is the fact that a slice has been taken from one of the pizzas. Let's consider the following image:

It's not exactly a real image, but you get the idea. You know what shape we are talking about. Since we don't know what we are looking for, we need to use some of the properties of these shapes to identify the sliced pizza. If you notice, all the other shapes are nicely closed. As in, you can...

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