Paper Info
Title
Fast Dual-Point Hough Transform for medical object recognition
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.
Year
DOI
Venue
2010
10.1109/CBMS.2010.6042659
CBMS
Keywords
Field
DocType
new object recognition method,medical object recognition application,basic feature,dual-point generalized hough transform,fast dual-point hough transform,good solution,medical image,proposed algorithm,fast hough transform,arbitrary shape,hypercubes,shape,object recognition,hough transform,biomedical imaging
Hough transforms,Computer vision,Object detection,Pattern recognition,Medical imaging,Computer science,Hough transform,Artificial intelligence,Hypercube,Cognitive neuroscience of visual object recognition
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
A. Bakulina100.34
D. Hlindzich210.71
Reinhard Männer3801536.47