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논문검색

An Improved SOM Based Surface Texture Synthesis

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Work for Surface Texture Synthesis
 3. Self-Organizing Maps
  1. Initialization Step:
  2. How to make sure the average distribution mapping
  3. Improved self organizing maps:
 4. Experimant Results and Conclusion
 5. Conclusion and Future Work
 References

저자정보

  • Jin Zhao Harbin University of Science and Technology, Harbin, China
  • Chen Deyun Harbin University of Science and Technology, Harbin, China

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