원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.6
2013.12
pp.179-192
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Owing to the fact that fabric images exhibit strong periodic and their features are difficult to extract, an image mosaic method based on cloud model cellular automata is presented. The edge feature points from two images are extracted by cloud model cellular automata, and then the corresponding feature point pairs are got by the cross-correlation of the gray scale around the feature points. At last the images can be stitched by matched feature point pairs. The experiments show that this method can achieve image mosaic effectively.
목차
Abstract
1. Introduction
2. Cellular Automata
3. Introduction of Cloud Theory
3.1. Cloud model
3.2. Normal cloud generator
4. Edge Detection based on Cloud Model Cellular Automata
4.1. Direction information measure
4.2. Edge order measure
4.3. Cloudization of numerical variable
4.4. Cloud reasoning
4.5. Rules of cloud cellular automata
4.6. Experiment of edge detection
5. Image Mosaic based on Edge Points
6. Experiment of Image Mosaic
7. Conclusion
References
1. Introduction
2. Cellular Automata
3. Introduction of Cloud Theory
3.1. Cloud model
3.2. Normal cloud generator
4. Edge Detection based on Cloud Model Cellular Automata
4.1. Direction information measure
4.2. Edge order measure
4.3. Cloudization of numerical variable
4.4. Cloud reasoning
4.5. Rules of cloud cellular automata
4.6. Experiment of edge detection
5. Image Mosaic based on Edge Points
6. Experiment of Image Mosaic
7. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보