Abstract
Fuzzy mathematical morphology is an important image analysis tool, especially so when processing images have a certain degree of ambiguity or fuzziness. As the shapes and features of the atmospheric systems observed in remote sensed satellite imagery are inherently ambiguous, fuzzy mathematical morphology seems an appropriate tool for feature extraction and segmentation. In this paper, an algorithm is presented for extraction of tropical cyclones from satellite imagery. The segmentation technique is based on extracting the distinguishable features in a tropical cyclone and then making a decision based on the nature of extracted features.
| Original language | English |
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| Pages (from-to) | 1353-1356 |
| Number of pages | 4 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 2 |
| Publication status | Published - 1997 |
| Event | Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4) - Hong Kong, Hong Kong Duration: 9 Jun 1997 → 12 Jun 1997 |