@inproceedings{1d3a65368df64577bc4589fb1f7ddb6d,
title = "A Comparison of Spatial Pattern Spectra",
abstract = "Pattern spectra have frequently been used in image analysis. A drawback is that they are not sensitive to changes in spatial distribution of features. Various methods have been proposed to address this problem. In this paper we compare several of these on both texture classification and image retrieval. Results show that Size Density Spectra are most versatile, and least sensitive to parameter settings.",
keywords = "SHAPE, REPRESENTATION, CLASSIFICATION, RETRIEVAL, OPENINGS",
author = "S. Land and Wilkinson, {M. H. F.}",
note = "Relation: http://www.springerlink.com/ Rights: Springer; 9th International Symposium on Mathematical Morphology ; Conference date: 24-08-2009 Through 27-08-2009",
year = "2009",
doi = "10.1007/978-3-642-03613-2_9",
language = "English",
isbn = "978-3-642-03612-5",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "92--103",
editor = "{ Wilkinson}, {Michael H. F. } and Roerdink, { Jos B. T. M. }",
booktitle = "Mathematical Morphology and Its Application to Signal and Image Processing",
}