Abstract
In this work a novel system for sea surface images pre-processing and processing has been developed in order to detect bubbles on the sea surface. This application is fundamental to verify radiometer satellite systems which are used to the study of the floor humidity and the sea salinity. 160 images of 8 kinds of salinity have been processed, 20 per class. Two main steps have been implemented; the first step is the image pre-processing and enhancing, in order to improve the bubbles detection. The second step is the segmentation and the bubbles detection. A combination system has been used in order to improve the final result, getting a recognition rate of 95.43%. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Travieso, C. M., Ferrer, M. A., & Alonso, J. B. (2010). Bubbles detection on sea surface images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6352 LNCS, pp. 565–568). https://doi.org/10.1007/978-3-642-15819-3_73
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