Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Digital Image Processing
Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)
Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Support Vector Machines
Editorial: Hybrid learning machines
Neurocomputing
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
Matching shapes with self-intersections: application to leaf classification
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
In this work a novel system for bubbles detection on sea surface images is presented. This application is basic 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: image pre-processing and enhancing in order to improve the bubbles features, and segmentation and bubbles detection. A combination system has been performed with Support Vector Machines (SVM) in order to detect the sea salinity, showing a recognition rate of 95.43%.