@inproceedings{f69080e03e534571bba44dbe5d8cb810,
title = "Leaf image retrieval with shape features",
abstract = "In this paper we present an efficient two-step approach of using a shape characterization function called centroid-contour distance curve and the object eccentricity (or elongation) for leaf image retrieval. Both the centroid-contour distance curve and the eccentricity of a leaf image are scale, rotation, and translation invariant after proper normalizations. In the frist step, the eccentricity is used to rank leaf images, and the top scored images are further ranked using the centroid-contour distance curve together with the eccentricity in the second step. A thinningbased method is used to locate start point(s) for reducing the matching time. Experimental results show that our approach can achieve good performance with a reasonable computational complexity.",
keywords = "Centroid-contour distance, Content-based image retrieval, Leaf image processing, Shape representation",
author = "Zhiyong Wang and Zheru Chi and Dagan Feng and Qing Wang",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 4th International Conference on Visual Information Systems, VISUAL 2000 ; Conference date: 02-11-2000 Through 04-11-2000",
year = "2000",
doi = "10.1007/3-540-40053-2_42",
language = "英语",
isbn = "3540411771",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "477--487",
editor = "Robert Laurini",
booktitle = "Advances in Visual Information Systems - 4th International Conference, VISUAL 2000, Proceedings",
}