DocumentCode :
2507044
Title :
The Gaussian Maxima Filter (GMF): A new approach for scale-space smoothing of an image
Author :
Bhattacharya, J. ; Majumder, S. ; Sanyal, G.
Author_Institution :
Central Mech. Eng. Res. Inst., Durgapur, India
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
The detection of fine feature from an image is often challenging. Generally, the smoothing filters used for the purpose are inadequate for such applications with the exception of bilateral and mean shift filter. A new smoothing filter termed Gaussian Maxima Filter(GMF), developed and presented here shows better performance in preserving fine features even for relatively large window size. This paper also presents necessary analysis along with experimental results obtained from GMF.
Keywords :
computer vision; feature extraction; filtering theory; image segmentation; smoothing methods; GMF; Gaussian maxima filter; bilateral shift filter; feature detection; image segmentation; mean shift filter; scale-space smoothing; smoothing filters; Approximation methods; Cameras; Conferences; Image edge detection; Noise; Optical filters; Smoothing methods; Computer vision; image preprocessing; image segmen-tation; scale space filtering; smoothing filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2010 Annual IEEE
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-9072-1
Type :
conf
DOI :
10.1109/INDCON.2010.5712649
Filename :
5712649
Link To Document :
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