Neural evaluation of texture synthesis results

K. Rouis, M. Sayadi, F. Fnaiech
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Abstract

This paper introduces a new idea of using the Self-Organizing Map to compare the similarity between the synthesized textures and the original sample in accordance with human visual system. The approaches of texture synthesis do not provide convincing results for all types of textures, since it is difficult to produce a general definition of this term. So that, we propose to evaluate the quality of results provided by different approaches, based on features of comparison to capture information present in texture image.
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纹理合成结果的神经评价
本文介绍了一种利用自组织映射(Self-Organizing Map)来比较合成纹理与原始纹理之间的相似性的新思路。纹理合成的方法不能为所有类型的纹理提供令人信服的结果,因为很难对这一术语给出一个通用的定义。因此,我们建议基于比较的特征来评估不同方法提供的结果的质量,以捕获纹理图像中存在的信息。
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