Hinweis (11. Mai 2021): Die Anmeldung am PubLister wurde deaktiviert. Bestehende Publikationen wurden von PubLister zu HIS migriert und sind nun im Publikationsmodul von HIS nachgewiesen.

Zum Publikationsmodul
Als neues Werkzeug zur Anzeige der Publikationen dient unser Discovery-System Wilbert. Zur Hochschulbibliographie.

Iterative Training of Discriminative Models for the Generalized Hough Transform

Title:
Iterative Training of Discriminative Models for the Generalized Hough Transform
Abstract:
We present a discriminative approach to the Generalized Hough Transform (GHT) employing a novel fully-automated training procedure for the estimation of discriminative shape models. The technique aims at learning the shape and variability of the target object as well as further confusable structures (anti-shapes), visible in the training images. The integration of the learned target shape and anti-shapes into a single GHT model is implemented straightforwardly by positive and negative weights. These weights are learned by a discriminative training and utilized in the GHT voting procedure. In order to capture the shape and anti-shape information from a set of training images, the model is built from edge structures surrounding the correct and the most confusable locations. In an iterative procedure, the training set is gradually enhanced by images from the development set on which the localization failed. The proposed technique is shown to substantially improve the object localization capabilities on long-leg radiographs.
Year:
2011
Publication type:
Conference contribution
Conference:
International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010
Book title:
Medical computer vision : recognition techniques and applications in medical imaging
Publisher:
Berlin ; Heidelberg: Springer
ISBN:
978-3-642-18420-8
Series:
Lecture Notes in Computer Science
Pages:
21-30
Language:
English
Document status:
Published
PubListerURL:
https://publister.bib.th-wildau.de/publister/public/publication/924
Keywords:
Object Localization, Generalized Hough Transform, Discriminative Training, Machine Learning, Optimal Model Generation
Ruppertshofen, H., Lorenz, C., Schmidt, S., Beyerlein, P., & Salah, Z. (2011). Iterative Training of Discriminative Models for the Generalized Hough Transform In B. Menze, G. Langs, Z. Tu & A. Criminisi (Eds.), Medical computer vision : recognition techniques and applications in medical imaging (pp. 21-30). Berlin ; Heidelberg: Springer (Lecture Notes in Computer Science).
@inproceedings{924,
    author           = {Ruppertshofen, Heike and Lorenz, Cristian and Schmidt, Sarah and Beyerlein, Peter and Salah, Zein},
    title            = {Iterative Training of Discriminative Models for the Generalized Hough Transform},
    editor           = {B. Menze, G. Langs, Z. Tu & A. Criminisi },
    year             = {2011},
    pages            = {21-30},
    publisher        = {Springer},
    series           = {Lecture Notes in Computer Science},
    address          = {Berlin ; Heidelberg},
    isbn             = {978-3-642-18420-8},
    booktitle        = {Medical computer vision : recognition techniques and applications in medical imaging},
    doi              = {10.1007/978-3-642-18421-5_3},
}


Search this title in Google Scholar