Multi-Level Approach for the Discriminative Generalized Hough Transform

Abstract

The Discriminative Generalized Hough Transform (DGHT) is a method for object localization, which combines the standard GHT with a discriminative training technique. Thereby the aim of the discriminativetraining is to equip the models used in the GHT with individual model point weights such that the localization error in the GHT becomesminimal. In this paper we want to introduce an extension of the DGHTusing a multi-level approach to reduce processing time and to improve localization accuracy. The approach searches for the target object on multiple resolution levels and combines this information for faster and better results. The advantage of the approach is demonstrated on low-resolution, whole-body MR images, which are intended for PET attenuation correction.