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Technical Program
Paper Detail
| Paper: | WP-P1.6 |
| Session: | Visual Object/Event Detection, Segmentation, and Classification |
| Time: | Wednesday, October 11, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
TEXTURE CLASSIFICATION WITH ANTS |
| Authors: |
Arshad Hussain; GIK Institute of Engineering Sciences & Technology | | | | | Nasir Rajpoot; University of Warwick | | | | | Kashif Rajpoot; GIK Institute of Engineering Sciences & Technology | | |
| Abstract: |
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. |
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