On the Extraction and Classification of Hand Outlines

Davis, Luke, Theobald, Barry-John, Toms, Andoni and Bagnall, Anthony (2011) On the Extraction and Classification of Hand Outlines. In: Proceedings onf the 12th International Conference on Intelligent Data Engineering and Automated Learning. Springer, pp. 92-99.

Full text not available from this repository. (Request a copy)

Abstract

We examine alternative ways of finding the outline of a hand from an X-ray as the first stage in segmenting the image into constituent bones. We assess a variety of algorithms including contouring, which has not previously been used in this context. We introduce a novel ensemble algorithm for combining outlines based on dynamic time warping (DTW). Our goal is to minimise the human intervention required, hence we investigate alternative ways of training a classifier to determine whether an outline is in fact correct or not. We evaluate outlining and classification on a set of 1370 images. We conclude that ensembling improves performance of all outlining algorithms, that the contouring algorithm used with the ensemble performs the best of those assessed, and that the most effective classifier of hand outlines assessed is a random forest applied to outlines transformed into principal components.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Science > Research Groups > Visual Computing and Signal Processing Faculty of Science > Research Groups > Data Science and AI
Depositing User:	Users 2731 not found.
Date Deposited:	03 Oct 2011 12:19
Last Modified:	28 Mar 2025 01:26
URI:	https://ueaeprints.uea.ac.uk/id/eprint/34925
DOI:	10.1007/978-3-642-23878-9_12

Actions (login required)

View Item