文章基本信息

标题：Image Mosaic based on Cloud Model Cellular Automata
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作者：Li Xinhua
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：6
页码：179-192
DOI：10.14257/ijsip.2013.6.6.17
出版社：SERSC
摘要：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.
关键词：image mosaic; edge detection; cloud model cellular automata; cross- ; correlation