Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/397Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Elza Marisa Paiva de Figueiredo Chagas | |
| dc.creator | Denilson Rodrigues | |
| dc.creator | João Manuel R. S. Tavares | |
| dc.date.accessioned | 2022-09-14T00:46:39Z | - |
| dc.date.available | 2022-09-14T00:46:39Z | - |
| dc.date.issued | 2007 | |
| dc.identifier.other | sigarra:56096 | |
| dc.identifier.uri | https://hdl.handle.net/10216/397 | - |
| dc.description.abstract | This paper proposes an approach for automatic features extraction and Biological shape characterization in recognition and diagnostic of protozoan parasites in images. The proposed methodology uses a morphological features detector and a quantitative representation that may provide an interesting counterpart to molecular-based phytogenies. | |
| dc.language.iso | eng | |
| dc.relation.ispartof | GREC 2007 | |
| dc.rights | restrictedAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Engenharia | |
| dc.subject | Engineering | |
| dc.title | An approach for feature extraction in recognition and automatic diagnostic of protozoan parasites using fuzzy logical | |
| dc.type | Artigo em Livro de Atas de Conferência Internacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 56096.pdf Restricted Access | 514.46 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License