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On size invariance texture image retrieval by fuzzy logic classifier and scattering statistical features

机译:基于模糊逻辑分类器的尺寸不变纹理图像检索和散射统计特征

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摘要

The texture image retrieval plays an important role in everyday life of people. In this paper, a new and efficient image features extraction approach based on scattering transform is proposed for size invariance texture image retrieval. The proposed approach obtains texture information in different directions and scales. And, analysis of size invariance texture image retrieval using fuzzy logic classifier and scattering statistical features is carried out. The different size samples of texture image are randomly generated from the original texture images. Also, average success rate of each size samples is obtained, respectively. The study shows that statistical features can achieve good performance from the sixth feature.
机译:纹理图像的检索在人们的日常生活中起着重要的作用。提出了一种基于散射变换的高效图像特征提取方法,用于尺寸不变纹理图像的检索。所提出的方法获得了不同方向和比例的纹理信息。并且,利用模糊逻辑分类器和散射统计特征对尺寸不变纹理图像检索进行了分析。从原始纹理图像随机生成不同大小的纹理图像样本。另外,分别获得每个尺寸样本的平均成功率。研究表明,统计特征可以从第六特征中获得良好的性能。

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