Paper
26 March 1998 Multiscale Gabor wavelet fusion for edge detection in microscopy images
Ashit Talukder, David P. Casasent
Author Affiliations +
Abstract
A new algorithm fusion approach using wavelet filters is used to detect edges with low contrast in the presence of noise. Gabor wavelet edge filters are used that two scales and these are combined using algorithm fusion to locate edges of various sizes under varying contrast and noise conditions. This novel algorithm fusion approach is tested on different microscopy images of several materials and shown to be robust to these changing imaging conditions. A real-time skeletonization approach is also discussed that applies a new and efficient hit and miss transform to produce lines of one pixel width.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ashit Talukder and David P. Casasent "Multiscale Gabor wavelet fusion for edge detection in microscopy images", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304884
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Image fusion

Image filtering

Microscopy

Scanning electron microscopy

Atomic force microscopy

Image processing

Metals

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