Method for analyzing texture of digital image

Image analysis – Pattern recognition – Feature extraction

Reexamination Certificate

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Reexamination Certificate

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06850644

ABSTRACT:
A digital image texture analyzing method including the steps of (a) obtaining the mean (μ0) and variance (σ0) of the pixel values of an original image, and (b) obtaining m×n filtered images by filtering the original image using predetermined filters, each having a unique combination of one of m scales and one of n orientations, where m and n are predetermined positive integers, (c) calculating the means (μ11, μ21, . . . , μmn) and variances (σ11, σ21, . . . , σmn) of the respective filtered images, and (d) obtaining a texture descriptor having the mean (μ0) and variance (σ0) of the pixel values of the original image obtained in the step (a), and the means (μ11, μ21, . . . , μmn) and variances (σ11, σ21, . . . , σmn) of the respective filtered images obtained in the step (c), as texture features. The texture analyzing method allows image textures to be more accurately analyzed and compared. Also, according to the digital image texture analyzing method, when an image is only rotated, enlarged or reduced relative to another image, the similarity of the textures of two images are analyzed, that is, accurate analysis can be performed.

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IEEE Transactions on Pattern Analysis and Machine Intelligence; vol. 18, No. 8; Aug. 1996.

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