Abstract
In this paper some properties of Foley-Sammon optimal discriminant vector(FSODV), by contrast with uncorrelated optimal discriminant vector(UODV), are discussed. Firstly the Fisher ratio of every FSODV must be not less than that of corresponding UODV and consequently sole FSODV will be superior to corresponding UODV, Secondly the correlation between feature components extracted by FSODV is an important factor. If high correlation is available between most of the feature components, the classification performance of FSODV will be remarkably inferior to UODV. However, if most of the feature components are only little correlative to each other, FSODV is comparative to UODV in classification.
| Original language | English |
|---|---|
| Pages (from-to) | 414-417 |
| Number of pages | 4 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5286 |
| Issue number | 1 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | Third International Symposium on Multispectral Image Processing and Pattern Recognition - Beijing, China Duration: 20 Oct 2003 → 22 Oct 2003 |
Keywords
- Correlation coefficient
- FSODV
- Feature extraction
- Fisher ratio
- Pattern recognition
- UODV
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