Comparison of DT-CWT based rotation variant and invariant methods on tissue characterization

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • Tampere University of Technology
  • Tampere University

Kuvaus

The goal of this study is to compare the effect of rotation variance on dual-tree complex wavelet transform (DT-CWT) based tissue characterization methods. Rotation variant features are especially useful when estimating orientations of textures. On the other hand, since tissues can turn and orient themselves on different directions, in segmentation or classification problems, rotation invariance becomes important. The methods are tested on two texture compositions from the Brodatz texture database and two actual magnetic resonance (MR) images. Results show that, the classification performance is not significantly affected by using rotation variant or invariant methods. On the other hand, regarding segmentation, rotation invariant DT-CWT features performed slightly better compared to rotation variant features.

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2008
TilaJulkaistu - 1 joulukuuta 2008
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaNordic-Baltic Conference on Biomedical Engineering and Medical Physics - Riga, Latvia
Kesto: 16 kesäkuuta 200820 kesäkuuta 2008
Konferenssinumero: 14

Conference

ConferenceNordic-Baltic Conference on Biomedical Engineering and Medical Physics
LyhennettäNBC
MaaLatvia
KaupunkiRiga
Ajanjakso16/06/200820/06/2008

ID: 29135731