DocumentCode :
2726696
Title :
An Effective Edge Detection Methodology for Medical Images Based on Texture Discrimination
Author :
Thangam, Sivaram V. ; Deepak, K.S. ; Rai, G.N.H. ; Mirajkar, Pranav Prabhakar
Author_Institution :
Software Eng. & Technol. Labs., Infosys Technol. Ltd., Bangalore
fYear :
2009
fDate :
4-6 Feb. 2009
Firstpage :
227
Lastpage :
231
Abstract :
As medical images are fuzzy, edge detection based on texture characteristics is comparatively effective than intensity based techniques. A new methodology is described for texture edge detection in medical images that is applicable across modalities. We use a multi-scale filter to capture texture edge information. An experimental prototype based on the proposed methodology provides a test bed for comparison with a popular edge detection technique.
Keywords :
edge detection; filtering theory; image texture; medical image processing; intensity based technique; medical image; multiscale filtering; texture edge detection methodology; Biomedical imaging; Detectors; Gabor filters; Image edge detection; Image resolution; Image retrieval; Image segmentation; Image texture analysis; Information filtering; Information filters; Biomedical image processing; Image edge detection; Image texture analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-3335-3
Type :
conf
DOI :
10.1109/ICAPR.2009.44
Filename :
4782780
Link To Document :
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