@inbook{89b3cd72591d429f8fad10fd78d7f931,
title = "A combined method for texture analysis and its application",
abstract = "In this paper, a rotational invariant feature set is introduced for texture classification, based on wavelet transformation in combination with co-occurrence probabilities. Using this combined method, through wavelet decomposition and reconstruction, an approximation image and a new details image are generated. Beside of using the statistic approximation and the new details respectively, the joint distribution of the original and the new detail image is computed, and seven novel digital features are derived from the joint probability. By combination with a MLP neural network, our method has successfully applied to pollen discrimination. In experiments with sixteen types of airborne pollen grains, more than 95 percent pollen images are correctly classified.",
author = "Yongping Zhang and Ruili Wang",
year = "2004",
doi = "10.1007/978-3-540-24685-5_54",
language = "English",
isbn = "9783540221142",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "413--416",
editor = "Marian Bubak and {van Albada}, {Geert Dick} and Sloot, {Peter M.A.} and Dongarra, {Jack J.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}