Modulation domain image segmentation

We present a modulation domain technique for segmenting textured images modeled as 2D multicomponent AM-FM functions. A Gabor filter bank is used to derive estimates of the dominant modulations at each image point and statistical clustering is then performed with respect to a similarity measure-base...

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Bibliographic Details
Main Authors: Tangsukson, T., Havlicek, J.P.
Format: Conference Proceeding
Language:English
Subjects:
Aging
Computer vision
Electrical capacitance tomography
Entropy
Filtering
Frequency modulation
Image recognition
Image segmentation
Layout
Stochastic processes
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Summary:We present a modulation domain technique for segmenting textured images modeled as 2D multicomponent AM-FM functions. A Gabor filter bank is used to derive estimates of the dominant modulations at each image point and statistical clustering is then performed with respect to a similarity measure-based modulation domain entropy. Post processing is applied in the image domain to regularize the solution and enforce spatial correspondence. Several synthetic and natural examples are presented.
DOI:10.1109/IAI.2000.839569