Image texture segmentation using polar S-transform and...

Details Image texture segmentation using polar S-transform and... Image texture segmentation using polar S-transform and...

2007-08-21

2007-08-21

Sajous, Wesner (Department: 2628)

Computer graphics processing and selective visual display system

Computer graphics processing

Attributes

C345S427000, C382S173000, C382S224000, C382S260000, C382S280000

Reexamination Certificate

active

11118366

ABSTRACT:
The present invention relates to a method and system for segmenting texture of multi-dimensional data indicative of a characteristic of an object. Received multi-dimensional data are transformed into second multi-dimensional data within a Stockwell domain based upon a polar S-transform of the multi-dimensional data. Principal component analysis is then applied to the second multi-dimensional data for generating texture data characterizing texture around each data point of the multi-dimensional data. Using a classification process the data points of the multi-dimensional data are partitioned into clusters based on the texture data. Finally, a texture map is produced based on the partitioned data points. The present invention provides image texture segmentation based on the polar S-transform having substantially reduced redundancy while keeping maximal data variation.

REFERENCES:
patent: 6266452 (2001-07-01), McGuire
patent: 6282300 (2001-08-01), Bloom et al.
L. Mansinha et al., Local S-spectrum analysis of 1D and 2D data, Phys. Earth Plan Interiors, pp. 1-11, Feb. 27, 1997.

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