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Python Data Analysis Cookbook
book

Python Data Analysis Cookbook

by Ivan Idris
July 2016
Beginner to intermediate
462 pages
9h 14m
English
Packt Publishing
Content preview from Python Data Analysis Cookbook

Chapter 11. Analyzing Images

In this chapter, we will cover the following recipes:

  • Setting up OpenCV
  • Applying Scale-Invariant Feature Transform (SIFT)
  • Detecting features with SURF
  • Quantizing colors
  • Denoising images
  • Extracting patches from an image
  • Detecting faces with Haar cascades
  • Searching for bright stars
  • Extracting metadata from images
  • Extracting texture features from images
  • Applying hierarchical clustering on images
  • Segmenting images with spectral clustering

Introduction

Image processing is a very large field of study. The techniques used for image processing can often (with small changes) be applied to video analysis as well. We can view image processing as a special type of signal processing. Signal processing is covered in Chapter 6, Signal Processing ...

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Publisher Resources

ISBN: 9781785282287Supplemental Content