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Proceedings Paper

An affine point-set and line invariant algorithm for photo-identification of gray whales
Author(s): Chandan Chandan; Nasser Kehtarnavaz; Gilbert Hillman; Bernd Wursig
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Paper Abstract

This paper presents an affine point-set and line invariant algorithm within a statistical framework, and its application to photo-identification of gray whales (Eschrichtius robustus). White patches (blotches) appearing on a gray whale's left and right flukes (the flattened broad paddle-like tail) constitute unique identifying features and have been used here for individual identification. The fluke area is extracted from a fluke image via the live-wire edge detection algorithm, followed by optimal thresholding of the fluke area to obtain the blotches. Affine point-set and line invariants of the blotch points are extracted based on three reference points, namely the left and right tips and the middle notch-like point on the fluke. A set of statistics is derived from the invariant values and used as the feature vector representing a database image. The database images are then ranked depending on the degree of similarity between a query and database feature vectors. The results show that the use of this algorithm leads to a reduction in the amount of manual search that is normally done by marine biologists.

Paper Details

Date Published: 28 May 2004
PDF: 9 pages
Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); doi: 10.1117/12.521105
Show Author Affiliations
Chandan Chandan, Univ. of Texas/Dallas (United States)
Nasser Kehtarnavaz, Univ. of Texas/Dallas (United States)
Gilbert Hillman, Univ. of Texas Medical Branch at Galveston (United States)
Bernd Wursig, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 5298:
Image Processing: Algorithms and Systems III
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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