Object Description

Abstract

The objects of a segmented image are represented by various ways , and their features are extracted to enable object recognition. The boundary of an object is represented by chain code, signature, and Fourier descriptor. The interior of a region is characterized by their geometrical features, moments, and textural features. Typical geometrical features are area, perimeter, compactness, and irregularity. Euler number is a topological descriptor. Moments are a sort of combination of geometrical features. Textural features are derived based on the histogram and co-occurrence matrices. Principal component analysis is based on decomposing an image into its components and leads to data reduction using linear algebra techniques.