8. Feature Extraction

  1. Frank Y. Shih

Published Online: 4 AUG 2010

DOI: 10.1002/9780470590416.ch8

Image Processing and Pattern Recognition

Image Processing and Pattern Recognition

How to Cite

Shih, F. Y. (2010) Feature Extraction, in Image Processing and Pattern Recognition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470590416.ch8

Publication History

  1. Published Online: 4 AUG 2010
  2. Published Print: 12 APR 2010

ISBN Information

Print ISBN: 9780470404614

Online ISBN: 9780470590416



  • corner detection;
  • feature extraction;
  • feature reduction;
  • Fourier descriptor (FD);
  • hough transform;
  • linear discriminate analysis (LDA);
  • moment invariants;
  • principal component analysis (PCA)


Feature extraction (or detection) aims to locate significant feature regions on images depending on their intrinsic characteristics and applications. These regions can be defined in global or local neighborhood and distinguished by shapes, textures, sizes, intensities, statistical properties, and so on. This chapter presents selected often-used feature extraction topics. It is organized as follows: First, Fourier descriptor (FD) and moment invariants are introduced. The chapter describes the Shape number and hierarchical features followed by Corner detection. It presents Hough transform and describes principal component analysis (PCA) and linear discriminate analysis (LDA). Finally the chapter discusses feature reduction in input and feature spaces.

Controlled Vocabulary Terms

Hough transforms; image processing; principal component analysis