title: Texture analysis of images using a two-dimensional fast time-frequency transform.
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.
authors.affiliation: Mayo Clinic , Department of Radiology, 13400 East Shea Boulevard, Scottsdale, Arizona 85259, United States.
authors.forename: Chun Hing
authors.initials: CH
authors.lastname: Cheng
authors.affiliation: Indian Institute of Technology Roorkee , Department of Electronics and Communication Engineering, Roorkee 247667, Uttarakhand, India.
authors.forename: Pyari Mohan
authors.initials: PM
authors.lastname: Pradhan
authors.affiliation: Mayo Clinic , Department of Radiology, 13400 East Shea Boulevard, Scottsdale, Arizona 85259, United States.
authors.forename: Joseph Ross
authors.initials: JR
authors.lastname: Mitchell
keywords: S-transform; medical image processing; time-frequency representation; time–time-transform