The Community for Technology Leaders
Pattern Recognition, International Conference on (2010)
Istanbul, Turkey
Aug. 23, 2010 to Aug. 26, 2010
ISSN: 1051-4651
ISBN: 978-0-7695-4109-9
pp: 2314-2317
ABSTRACT
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly desirable properties in biomedical imaging, where accurate shape analysis is paramount. However, setting the attribute-threshold parameters has to date only been done manually. This paper explores simple, fast and automated methods of computing attribute threshold parameters based on image segmentation, thresholding and data clustering techniques. Though several techniques perform well on blood-vessel filtering, the choice of technique appears to depend on the imaging mode.
INDEX TERMS
Connected filters, mathematical morphology, blood-vessel enhancement, clustering, automatic thresholding, attribute filters
CITATION

M. H. Wilkinson and F. N. Kiwanuka, "Automatic Attribute Threshold Selection for Blood Vessel Enhancement," 2010 20th International Conference on Pattern Recognition (ICPR 2010)(ICPR), Istanbul, 2010, pp. 2314-2317.
doi:10.1109/ICPR.2010.566
158 ms
(Ver 3.3 (11022016))