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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