Image Retrieval via Isotropic and Anisotropic Mappings
Qasim Iqbal - J. K. Aggarwal
Computer and Vision Research Center
Department of Electrical and Computer Engineering
The University of Texas at Austin
Austin, Texas 78712, USA.
This paper presents an approach for content-based image retrieval via
anisotropic mappings. Isotropic mappings are defined to be mappings invariant
to the action of the planar Euclidean group - invariant to the translation,
rotation and reflection of image data, and hence, invariant to orientation and
position. Anisotropic mappings, on the other hand, are defined to be those
mappings that are correspondingly variant. Structure extraction (via a
perceptual grouping process) and color histogram are shown to be
representations of isotropic mappings. Texture analysis using a channel energy
model comprised of even-symmetric Gabor filters is considered
to be a representation of anisotropic mapping.
Results of retrieval of outdoor images by query and by classification
using a nearest neighbor classifier are presented.