A comparative study of texture measures with classification based on feature distributions
Inhaltsverzeichnis
Referenz
Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recogn. 29(1), 51–59 (1996)
DOI
http://dx.doi.org/10.1016/0031-3203(95)00067-4
Abstract
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
Extended Abstract
Bibtex
@article{OJALA199651,
title = "A comparative study of texture measures with classification based on featured distributions",
journal = "Pattern Recognition",
volume = "29",
number = "1",
pages = "51 - 59",
year = "1996",
note = "",
issn = "0031-3203",
doi = "http://dx.doi.org/10.1016/0031-3203(95)00067-4",
url = "http://www.sciencedirect.com/science/article/pii/0031320395000674 http://de.evo-art.org/index.php?title=A_comparative_study_of_texture_measures_with_classification_based_on_feature_distributions",
author = "Timo Ojala and Matti Pietikäinen and David Harwood",
keywords = "Texture analysis",
keywords = "Classification",
keywords = "Feature distribution",
keywords = "Brodatz textures",
keywords = "Kullback discriminant",
keywords = "Performance evaluation"
}
Used References
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