DocumentCode :
320167
Title :
Comparing line detection methods for medical images
Author :
Zwiggelaar, Reyer ; Parr, Tim C. ; Taylor, Chris J.
Author_Institution :
Dept. of Med. Biophys., Manchester Univ., UK
Volume :
3
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
1161
Abstract :
In medical image analysis there are various examples where the detection of linear structures can provide important information. These include mammography, blood vessel detection and the extraction of trebecular structure from bone images. There are several generic techniques which can be used to obtain linear structure information at a pixel level. Several of these techniques are compared on the basis of their performance in detecting line strength and orientation. In addition the authors comment on the possibility of using the same techniques in a multi-scale approach to also obtain line scale information. The methods discussed include those based on simple orientation bins, a multidirectional line operator, directional second order Gaussian derivatives, directional morphology, curvilinear structures detection and directional Fourier space
Keywords :
bone; diagnostic radiography; edge detection; medical image processing; blood vessel detection; bone images; curvilinear structures detection; directional Fourier space; directional morphology; directional second order Gaussian derivatives; generic techniques; line scale information; linear structures detection; mammography; medical diagnostic imaging; medical image line detection methods; multidirectional line operator; multiscale approach; pixel level; simple orientation bins; trebecular structure extraction; Biomedical imaging; Biophysics; Blood vessels; Bones; Buildings; Data mining; Detectors; Image analysis; Mammography; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.652755
Filename :
652755
Link To Document :
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