Performance of optical flow techniques
International Journal of Computer Vision
Singular Features in Sea Surface Temperature Data
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Automatic detection of meddies through texture analysis of sea surface temperature maps
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
A high-speed algorithm for elliptical object detection
IEEE Transactions on Image Processing
Detection of a Large Number of Overlapping Ellipses Immersed in Noise
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Identification of Oceanic Eddies in Satellite Images
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
The circlet transform: A robust tool for detecting features with circular shapes
Computers & Geosciences
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The impact of water eddies off the Iberian coast in the chemistry and biology of the ocean ecosystems, on the circulation of ocean waters and on climate still needs to be studied. The task of identifying water eddies in sea surface temperature maps (SST) is time-consuming for oceanographers due to the large number of SST available. This motivates the present investigation aiming to develop an automatic system capable of performing that task. The system developed consists of a pre-processing stage where a vectorial field is calculated using an optical flow algorithm with one SST map and a matrix of zeros for input. Next, a binary image of the modulus of the vectorial field is created using an iterative thresholding algorithm. Finally, five edge points of the binary image, classified according to their gradient vector direction, are randomly selected and an ellipse corresponding to a water eddy fitted to them.