Abstract
The method of neural network target recognition was presented based on Log Gabor wavelet phase congruency (PC). The performance of Log Gabor wavelet was excelled to that of Gabor wavelet in theory. The definition of PC invariant was presented, and the low-level image invariant feature was discussed. The formula of PC feature invariant was modified by Log Gabor wavelet. The experiment of image target recognition was done by the PC. The simulated result indicated the method based on the PC feature invariant of Log Gabor wavelet can finely recognize the image target, and the recognition rate attained to 97%.
| Original language | English |
|---|---|
| Pages (from-to) | 222-225 |
| Number of pages | 4 |
| Journal | Guangdianzi Jiguang/Journal of Optoelectronics Laser |
| Volume | 17 |
| Issue number | 2 |
| Publication status | Published - Feb 2006 |
Keywords
- Improved BP algorithm
- Invariant
- Log Gabor wavelet transform
- Phase congruency (PC)
- Target recognition