A comparative study of texture measures with classification based on feature distributions
A comparative study of texture measures with classification based on feature distributions
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DOI：
10.1016/0031-3203(95)00067-4
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发表时间：
1996-01-01
影响因子：
8
通讯作者：
Harwood, D
中科院分区：
文献类型：
--
作者：
Ojala, T;Pietikainen, M;Harwood, D
本文评估性能的一些纹理措施，已成功地用于各种应用程序和最近提出的一些新的有前途的方法。分类的基础上的样本和原型分布的Kullback歧视的方法。的分类结果与一维特征值分布的单个功能和互补功能的二维分布。
This paper evaluates the performance both of some texture measures which have been successfully used in various applications and of some new promising approaches proposed recently. For classification a method based on Kullback discrimination of sample and prototype distributions is used. The classification results for single features with one-dimensional feature value distributions and for pairs of complementary features with two-dimensional distributions are presented.