Novel Synthesis Method for Image of Materials Texture

Abstract:

Most patch-based texture synthesis algorithms using Markov Random Field for composite materials only considers color similarity between the corresponding pixels. The traditional algorithms are lack of adaptability, so the size of patches needs to be defined artificially in advance as the result of blurring of image texture features for composite materials. In order to improve above problems, a new patch-based sampling algorithm for synthesizing textures from an input sample image texture of composite materials is presented in this paper. By using patches of the sample texture as building blocks for image texture synthesis of composite materials, this algorithm makes high-quality texture synthesis for a wide variety of textures ranging regular to stochastic. The method is effective by our experimental results.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 4140-4147
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.4140
• Online since: November 2014
• Authors: Hong Tao Peng, De Gan Zhang, Xiao Dong Song, Xiang Wang
• Keywords: Composite Material, Gradient, Image Texture Feature, Patch-Based Texture Synthesis

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