|Title of host publication||ICIP 2001|
|Publisher or commissioning body||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication date||Oct 2001|
|Pages||141 - 144|
|Conference||International Conference on Image Processing(ICIP)|
|Period||1/10/01 → …|
Content-based retrieval is ultimately dependent on the features used for the annotation of data and its efficiency is dependent on the invariance and robust properties of these features. For texture-based features an important form of invariance is rotational invariance. Novel rotationally invariant texture-based features are introduced that are extracted from a polar Fourier transform (PFT). The PFT is similar to the discrete Fourier transform in two dimensions but uses transform parameters radius and angle rather than the Cartesian co-ordinates. The PFT is discretised appropriately across the angular and radial frequency space with the transform magnitudes forming the rotationally invariant features. These features although rotationally invariant, capture the angular distribution together with the radial distribution of frequency within texture. Preliminary results show the method to give better results than rotationally variant and invariant Gabor filter schemes
Rose publication type: Conference contribution
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
International Conference on Image Processing(ICIP)
|Duration||1 Oct 2001 → …|