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