Quantized local edge distribution: A descriptor for B-mode ultrasound images
Refereed conference paper presented and published in conference proceedings

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AbstractThis paper presents an illumination invariant, histogram equalization invariant, rotation-robust and spatially stable texture descriptor for B-mode ultrasound images. We design a new edge-encoding descriptor that captures edge distributions of ultrasound textures. The distribution of edges categorized by their strength forms a signature of a specific textural pattern. Oriented edges are first quantized into different levels of salience according to local contrast and then aggregated to polar bins. A distance function that incorporates with our descriptor for effective texture comparison is introduced. The performance of the proposed descriptor is evaluated by various experiments. © 2013 Springer-Verlag.
All Author(s) ListChan W.-Y., Chui Y.-P., Heng P.-A.
Name of Conference6th International Workshop on Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013
Start Date of Conference22/09/2013
End Date of Conference22/09/2013
Place of ConferenceNagoya
Country/Region of ConferenceJapan
Volume Number8090 LNCS
PublisherSpringer Verlag
Place of PublicationGermany
Pages192 - 200
LanguagesEnglish-United Kingdom
KeywordsB-mode ultrasound image, edge statistic, image descriptor

Last updated on 2020-24-11 at 00:12