Skip to main content

2001 | OriginalPaper | Buchkapitel

A Hierarchical Entropy Based Representation for Medical Signals

verfasst von : Cecilia Di Ruberto, Riccardo Distasi, Sergio Vitulano

Erschienen in: Human and Machine Perception 3

Verlag: Springer US

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

In this chapter, we present a Hierarchical Entropy-based Representation (HER) for 1-dimensional signals. In fact, many 2-dimensional signals can be effectively encoded in a 1-D form that will allow the use of HER. This method represents the signal by a vector containing the energy values related to its local maxima and their locations along the time axis. Such a representation has been utilized as the feature extraction engine in an image retrieval system for medical image databases, with a K-d-tree based spatial access method.The data used for the experiments were contours and textures from various medical sources.The experiments show that HER performs very well in this respect.

Metadaten
Titel
A Hierarchical Entropy Based Representation for Medical Signals
verfasst von
Cecilia Di Ruberto
Riccardo Distasi
Sergio Vitulano
Copyright-Jahr
2001
Verlag
Springer US
DOI
https://doi.org/10.1007/978-1-4615-1361-2_12