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DSpace at Transilvania University >
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COMEC 2005 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/993
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| Title: | FEATURE EXTRACTION METHODS USED FOR IMAGES OF MACULAR DISEASES – PART II |
| Authors: | LUCULESCU, Marius Cristian
LACHE, Simona
BARBU, Daniela Mariana
BARBU, Ion |
| Keywords: | Image
feature
Neural networks
diagnostic
MATLAB |
| Issue Date: | Oct-2005 |
| Publisher: | Transilvania University Press of Braşov |
| Citation: | GOOGLE SCHOLAR |
| Series/Report no.: | COMEC 2005;1-6 |
| Abstract: | The paper continues to present methods for feature extraction applied to macular disease images. For recognizing or classifying images using neural networks, the volume of information applied on network input should be significantly reduced. A high resolution image supposes an important quantity of information. The values representing image features have to contain specific information invariant at transformations as rotation, scaling or mirroring. For doing this, a Graphical User Interface (GUI) developed in MATLAB will be used. The GUI is integrated in a Computer Aided Diagnostic (CAD) system for macular diseases. |
| URI: | http://hdl.handle.net/123456789/993 |
| ISBN: | 973 - 635 - 593 – 4 |
| Appears in Collections: | COMEC 2005
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