Texture analysis of images using a two-dimensional fast time-frequency transform

Chun Hing Cheng; Pyari Mohan Pradhan; Joseph Ross Mitchell

doi:10.1117/1.JMI.2.2.024504

Texture analysis of images using a two-dimensional fast time-frequency transform

Chun Hing Cheng, Pyari Mohan Pradhan, Joseph Ross Mitchell

Research

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The two-dimensional S-transform (ST-2D) is a time-frequency representation that is widely used in medical image processing but prohibitive in both storage and computation time. The high computation time required for generating local spectrum discourages the use of ST-2D for analyzing textures in medical images. A two-dimensional fast time-frequency transform (FTFT-2D) for computing the local spectrum instantaneously and accurately is proposed. It can also be used to compute the complete redundant discrete ST-2D output, if needed. It reduces the storage requirement by generating a compressed form of the ST-2D. In addition, the memory efficient and adaptive nature of the FTFT-2D make it suitable for user-specific requirements.

Original language	English (US)
Article number	024504
Journal	Journal of Medical Imaging
Volume	2
Issue number	2
DOIs	https://doi.org/10.1117/1.JMI.2.2.024504
State	Published - Apr 1 2015

Keywords

S-transform
medical image processing
time-frequency representation
time-time-transform

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1117/1.JMI.2.2.024504

Cite this

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abstract = "The two-dimensional S-transform (ST-2D) is a time-frequency representation that is widely used in medical image processing but prohibitive in both storage and computation time. The high computation time required for generating local spectrum discourages the use of ST-2D for analyzing textures in medical images. A two-dimensional fast time-frequency transform (FTFT-2D) for computing the local spectrum instantaneously and accurately is proposed. It can also be used to compute the complete redundant discrete ST-2D output, if needed. It reduces the storage requirement by generating a compressed form of the ST-2D. In addition, the memory efficient and adaptive nature of the FTFT-2D make it suitable for user-specific requirements.",

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Texture analysis of images using a two-dimensional fast time-frequency transform

Abstract

Keywords

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