Texture Classification with Ants

In this paper, we present a novel texture classification algorithm inspired by the self-assembling behavior of real ants when building live structures with their bodies. The proposed algorithm employs dyadic Gabor filter banks for extracting discriminant features from images containing multiple textures not known to the algorithm. The feature space is clustered using the novel ant tree clustering (ATC) algorithm based on the similarity of ants carrying the feature vectors. The results thus obtained show promise of the proposed approach.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Arshad Hussain, Nasir Rajpoot, Kashif Rajpoot
• Keywords: Dyadic Gabor Filter, Feature Vectors, ICIP 2006, Image Processing, Real Ants, Texture Classification Algorithm