Directional features extracted from Gabor responses are used as primitives for perceptual grouping. In previous work, we extracted Gabor features in 8 directions and then applied two Self-Organising Maps (SOMs), thus classifying each pixel in the image within a neuron-map, each corner of which represents one of four main directions. In this work we group pixels with similar directional features to detect salient structures within an image. Results obtained from application to forward-looking infrared (FLIR) images are very promising.
|Translated title of the contribution||Grouping of Directional Features using an Extended Hough Transform|
|Journal||Proceedings of the 15th International Conference on Pattern Recognition|
|Publication status||Published - 2000|
Bibliographical noteISBN: 0769507506
Publisher: IEEE Computer Society
Name and Venue of Conference: Proceedings of the 15th International Conference on Pattern Recognition
Other identifier: 1000511