文章基本信息

标题：An Improved SOM Based Surface Texture Synthesis
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作者：Jin Zhao ; Chen Deyun
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：421-428
DOI：10.14257/ijsip.2015.8.12.39
出版社：SERSC
摘要：This paper proposed a new method for surface texture synthesis using improved self- organizing maps as the synthesis logic. The method will first loop map the sample image to the target surface until the surface is full filled, then construct a improved self- organizing maps model, in which use sample image as the input level and the target three-dimensional surface as out put level, to adjust the pixel position in target surface, and the mapping area is controlled in the neighborhood of local extremum by reducing search area of variables. The new algorithm not only speed up the synthesis progress, and also enhances the image quality of target surface texture, and compare with the previous algorithm, it is not necessary for the user's intervention. Compared with previous results for the proof of our concepts, we have successfully implemented the experimental results and the proposed algorithm.
关键词：3D surface; texture synthesis; self-organizing maps; local extremum