Image Mosaic based on Cloud Model Cellular Automata
Xinhua Li · International Journal of Signal Processing Image Processing and Pattern Recognition · 2013
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.