• Abbreviated Title: J. Advanced Management Sci.
  • Editor-in-Chief: Prof. Rajive Mohan Pant
  • Associate Executive Editor: Ms. Alice Loh
  • E-ISSN: 2810-9740  
  • DOI: 10.18178/joams
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Prof. Rajive Mohan Pant

North Eastern Regional Institute of Science & Technology, India
I am very excited to serve as the first Editor-in-Chief of the Journal of Advanced Management Science (JOAMS) and hope that the publication can enrich the readers’ experience.. ...  [Read More]

Synthesis System for Grey Volume Textures Using Statistical Features

Chin-Chen Chang1, Hsiang-Yu Lin2, and Wen-Kai Tai3
1.Department of Computer Science and Information Engineering, National United University, Miaoli 360, Taiwan
2.Institute of Multimedia Engineering, National Chiao Tung University, Hsinchu 300, Taiwan
3.Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien 974, Taiwan

Abstract—Several systems have utilized three orthogonal slices for neighborhood matching to synthesize volume textures. Further improvements are required to extract more reliable texture features. In this paper, we propose a volume texture synthesis system using grey-level texture features. In pre-process, we extract grey-level texture features. Next, for similarity set construction and 3D-candidates generation, we find the three pixels most similar to each pixel and pre-compute a set of 3D-candidates for each pixel of exemplars to build the relationship between the three exemplars. In synthesis process, we apply the synthesis process to synthesize volume textures. The proposed system can synthesize desired results for a wide range of grey textures.

Index Terms—computer graphics, texture, volume texture, texture synthesis, feature extraction.

Cite:Chin-Chen Chang, Hsiang-Yu Lin, and Wen-Kai Tai , "Synthesis System for Grey Volume Textures Using Statistical Features" Journal of Advanced  Management Science, Vol. 1, No. 1, pp. 171-174, March 2013. doi: 10.12720/joams.1.1.171-174
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