language: en

On computing global similarity in images

S. Ravela and R. Manmatha
Computer Science Department University of Massachusetts,
Amherst, MA 01003
Email: {ravela,manmatha}@cs.umass.edu

Abstract The retrieval of images based on their visual similarity to an example image is an important and fascinating area of research. Here, a method to characterize visual appearance for determining global similarity in images is described. Images are filtered with Gaussian derivatives and geometric features are computed from the filtered images. The geometric features used here are curvature and phase. Two images may be said to be similar if they have similar distributions of such features. Global similarity may, therefore, be deduced by comparing histograms of these features. This allows for rapid retrieval and examples from collection of gray-level and trademark images are shown.

1 Introduction