Invention Grant
US07259767B2 Image texture segmentation using polar S-transform and principal component analysis
有权
使用极化S变换和主成分分析的图像纹理分割
- Patent Title: Image texture segmentation using polar S-transform and principal component analysis
- Patent Title (中): 使用极化S变换和主成分分析的图像纹理分割
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Application No.: US11118366Application Date: 2005-05-02
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Publication No.: US07259767B2Publication Date: 2007-08-21
- Inventor: Ross Mitchell , Hongmei Zhu , Yunyan Zhang , Alan Law
- Applicant: Ross Mitchell , Hongmei Zhu , Yunyan Zhang , Alan Law
- Applicant Address: CA Calgary, Alberta
- Assignee: Calgary Scientific Inc.
- Current Assignee: Calgary Scientific Inc.
- Current Assignee Address: CA Calgary, Alberta
- Agency: Freedman & Associates
- Main IPC: G09G5/00
- IPC: G09G5/00 ; G06T15/10 ; G06K9/34 ; G06K9/40 ; G06K9/36 ; G06T15/50 ; G06K9/32 ; G06K9/62

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.
Public/Granted literature
- US20050253863A1 Image texture segmentation using polar S-transform and principal component analysis Public/Granted day:2005-11-17
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