Earticle

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

키워드

저자

• Jin Zhao [ Harbin University of Science and Technology, Harbin, China ]
• Chen Deyun [ Harbin University of Science and Technology, Harbin, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605