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
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