Calgary Scientific Inc.

Sylvia Anna Drabycz

Joseph Ross Mitchell

A method for texture characterization is provided. Multi-dimensional spectrum data are determined by transforming multi-dimensional image data into Fourier domain. The multi-dimensional spectrum data are partitioned into a plurality of partitions, wherein each partition is associated with a predetermined set of orthogonal voice frequencies. The partitioned multi-dimensional spectrum data are then transformed into Stockwell domain resulting in discrete orthonormal Stockwell transform data. The discrete orthonormal Stockwell transform data are then processed to determine data associated with image texture, which are indicative of a feature of the object.

Image texture characterization of medical images

A method for texture quantification is provided. Data indicative of a complex-valued local spatial frequency distribution in space-frequency domain are determined by processing a multi-dimensional image data set based on a Stockwell transform with a phase term corresponding to spatial locations of respective frequency components being expressed in terms of radial distance and angle of orientation. The complex-valued local spatial frequency distribution is indicative of a feature of the object. Data indicative of a low frequency energy distribution are determined by filtering the data indicative of a complex-valued local spatial frequency distribution using a band-pass filter having a predetermined low frequency energy bandwidth.

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Calgary, Canada

Sylvia Anna Drabycz