Abstract:

Owing to the fact that fabric images exhibit strong periodic and their features are difficult to extract, it is suggested to use cellular automaton to take the cellular space as a two-dimensional one, and the mosaic of image pixels and cellular is performed one-to-one correspondingly. It completes the feature extraction and edge detection through the establishment of cellular automata model and cellular transfer equation. According to the pre-calibration of the camera, it determines overlapping parts of two images, and then searches the maximum similarity in pixel values of the overlapping parts of the two images and conducts iterative search on the principle of maximum correlated factor to get the optimal stitching point. By eliminating apertures generated from mosaicking, image mosaicking is finished and a complete image is gotten. It is shown by verification that using cellular automata can achieve fabric image mosaicking effectively.