Abstract
The real-time image segmentation and recognition algorithm for a TV seeker is developed. Based on Hu's invariant moments and relative moments, a novel pattern recognition method is presented, which can classify the targets by using the four invariant moments after further optimized and combine, together with the complex moment, circularity variance and ellipse variance to construct the eigenvector of the image, the improved moment-preserving thresholding method and the adaptive gradient thresholding method are used to pick-up targets. The results of experiments show that the target eigenvectors have the property of translation, rotation and scaling invariance. The segmentation algorithm can segment the images automatically, completely and rapidly its hardware is easy.
| Original language | English |
|---|---|
| Pages (from-to) | 786-790 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 25 |
| Issue number | 9 |
| Publication status | Published - Sept 2005 |
Keywords
- Combined invariant moment
- Feature extraction
- Image segmentation
- Target recognition