Abstract
To solve the problem of star extraction on the condition of strong interference, a star extraction method based on edge detection+selection for star pixels was proposed in this paper. An edge detection algorithm to segment the star image is first utilized, and then each pixel is marked. Finally, self-adaptive threshold to select the object pixels of each star is used. Also, the pixel labeling algorithm is improved, and before the pixel of target is labeled, the connectivity of its neighbors is examined so that all of the pixels of the same star only have one mark and the processing efficiency of star image is improved. Experimental results show that the method has better robustness to strange interference, higher speed and accuracy. The improved method can distinguish sensed stars more quickly, and may be more convenient for engineering applications.
| Original language | English |
|---|---|
| Pages (from-to) | 113-117 |
| Number of pages | 5 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 46 |
| Issue number | 8 |
| Publication status | Published - 30 Aug 2014 |
Keywords
- Connectivity
- Edge detection
- Pixel labeling
- Self-adaptive threshold
- Star extraction