Morphological hat-transform scale spaces and their use in pattern classification

PATTERN RECOGNITION

卷:37

Article

Jalba, AC ; Wilkinson, MHF ; Roerdink, JBT

关键词: mathematical morphology;    scale space;    top-hat transform;    bottom-hat transform;    connected operators;    pattern classification;    decision trees;    diatom images;    Brodatz textures;   

DOI  :  10.1016/j.patcog.2003.09.009

来源: Elsevier

【 摘 要 】

In this paper we present a multi-scale method based on mathematical morphology which can successfully be used in pattern classification tasks. A connected operator similar to the morphological hat-transform is defined, and two scale-space representations are built. The most important features are extracted from the scale spaces by unsupervised cluster analysis, and the resulting pattern vectors provide the input of a decision tree classifier. We report classification results obtained using contour features, texture features, and a combination of these. The method has been tested on two large sets, a database of diatom images and a set of images from the Brodatz texture database. For the diatom images, the method is applied twice, once on the curvature of the outline (contour), and once on the grey-scale image itself. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free