Title :
Fast Dual-Point Hough Transform for medical object recognition
Author :
Bakulina, Alena ; Hlindzich, Dzmitry ; Maenner, Remhard
Author_Institution :
Inst. of Comput. Med. (ICM), Univ. of Heidelberg, Mannheim, Germany
Abstract :
In this paper we introduce a new object recognition method for detecting objects of arbitrary shapes based on a combination of the Fast Hough Transform (FHT) and the Dual-Point Generalized Hough Transform (DPGHT). We validate the proposed approach on medical images (cryosection, US, MRI) and describe its basic features. The proposed algorithm is robust, low memory consumptive and utilizes the advantages of the both FHT and DPGHT that makes it a good solution for medical object recognition applications.
Keywords :
Hough transforms; medical image processing; object detection; object recognition; dual-point generalized Hough Transform; fast dual-point Hough transform; medical images; medical object recognition method; object detection; Arrays; Biomedical imaging; Educational institutions; Hypercubes; Object recognition; Shape; Transforms;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-9167-4
DOI :
10.1109/CBMS.2010.6042659
