Texture representation based on pattern map
Texture representation based on pattern map
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DOI：
10.1016/j.sigpro.2003.11.021
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发表时间：
2004-03
期刊：
影响因子：
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通讯作者：
Xiang-Yan Zeng;Yenwei Chen;Z. Nakao;Hanqing Lu
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文献类型：
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作者：
Xiang-Yan Zeng;Yenwei Chen;Z. Nakao;Hanqing Lu
提出了一种对光照变化不敏感的基于像素模式的纹理特征（PPBTF）。灰度图像被变换成图案图，其中通过图案匹配对用于表征纹理信息的边缘和线（条）进行分类。基于图案图，特征向量由属于每个图案的像素的数目组成。我们使用主成分分析得到的图像基函数作为模板进行模式匹配。通过在纹理图像分割中的应用，全面分析了该特征的特点。与多通道滤波方法的比较表明，PPBTF特征不受光照的影响，且时间较短。
We propose a pixel-pattern-based texture feature (PPBTF) which is insensitive to variance of illumination. A gray scale image is transformed into a pattern map where edges and lines (bars) to be used for characterizing the texture information are classified by pattern matching. Based on the pattern map, a feature vector is comprised of the numbers of the pixels belonging to each pattern. We use the image basis functions obtained by principal component analysis as the templates for pattern matching. The characteristics of the feature is comprehensively analyzed through an application to texture image segmentation. Comparisons with multichannel filtering methods show that PPBTF feature is quite time saving and free of the influence of illumination.