US2012224753A1PendingUtilityA1
Characterizing a texture of an image
Est. expiryDec 14, 2027(~1.4 yrs left)· nominal 20-yr term from priority
Inventors:Alexandru Bogdan
G06T 7/0012G06T 2207/10056G06T 2207/20064G06T 2207/30088G06T 7/42G06T 7/48
45
PatentIndex Score
0
Cited by
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0
Claims
Abstract
Among other things, a texture of an image is characterized by deriving lacunarity measures from the image based on a wavelet analysis.
Claims
exact text as granted — not AI-modified1 . A machine-based method comprising:
deriving local densities of wavelet maxima based on a wavelet maxima representation for an image, the local densities being derived for multiple areas of image; and using the local densities of the wavelet maxima in analyzing a texture of the image.
2 . A machine-based method comprising:
analyzing a probability distribution of a density of wavelet maxima based on a wavelet maxima representation of an image; and using the probability distribution in analyzing a texture of the image.
3 . A machine-based method comprising:
deriving lacunarity measures based on an analysis of wavelet maxima in a wavelet maxima representation of an image; and training a classifier based on the derived lacunarity measures, the classifier being trained for use in classifying images.Join the waitlist — get patent alerts
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