Performance evaluation of texture measures with classification based on Kullback discrimination of distributions 论文
2002引用 1368
Image Retrieval and Classification TechniquesMedical Image Segmentation TechniquesImage Processing and 3D Reconstruction
详细信息
- 发表日期
- 2002-12-17
- 发表年份
- 2002
关键词
Image Retrieval and Classification TechniquesMedical Image Segmentation TechniquesImage Processing and 3D Reconstruction
摘要
This paper evaluates the performance both of some texture measures which have been successfully used in various applications and of some new promising approaches. 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.