Matlab codes for Local Phase Quantization

Latest Matlab implementation of Local Phase Quantization (LPQ) descriptors:

lpq.m (2012-01-18, ver 0.3) See function help for instructions and examples.

Older version of LPQ:

lpq_basic.m (2008-07-01, ver 0.1)

Matlab implementation of rotation invariant Local Phase Quantization (LPQ):

The main code for computing RI-LPQ features. (Requires two additional functions listed below)

ri_lpq.m (2010-06-01, ver 0.1)

Code for pre-computing the rotated LPQ filters.

createLPQfilters.m (2010-06-01, ver 0.1)

Code for compute the characteristic orientation at each image pixel.

charOrientation.m (2010-06-01, ver 0.1)

Additional codes for visualizing the LPQ filters and characteristic orientations.

visualizeLPQfilters.m (2010-06-01, ver 0.1)

visualizeCharOrientation.m (2010-06-01, ver 0.1)

Matlab implementations of spatio-temporal Volume Local Phase Quantization (vLPQ):

vlpq.m (2011-22-03, ver 0.1) See function help for instructions and examples.

vlpqCov.m (2011-22-03, ver 0.1) Additional function for computing decorrelation models for vLPQ (vlpq.m can be used also without this function).

Matlab implementations of spatio-temporal Local Phase Quantization Three Ortogonal Planes (LPQ-TOP):

LPQ_TOP.m (2011-22-03, ver 0.1) See function help for instructions and examples.

lpqtopCov.m (2011-22-03, ver 0.1) Additional function for computing decorrelation models for LPQ-TOP (LPQ_TOP.m can be used also without this function).

Publications:

[1] Ojansivu V & Heikkilä J (2008) Blur insensitive texture classification using local phase quantization. Proc. Image and Signal Processing (ICISP 2008), 5099:236-243. (Full paper)

[2] Ojansivu V, Rahtu E & Heikkilä J (2008) Rotation invariant blur insensitive texture analysis using local phase quantization. Proc. Intl. Conference on Pattern Recognition (ICPR). (Full paper)

[3] Päivärinta J, Rahtu E & Heikkilä J (2011) Volume Local Phase Quantization for Blur-Insensitive Dynamic Texture Classification. Proc. Scandinavian Conference on Image Analysis (SCIA). (pdf will appear)

If you encounter problems or find bugs in these implementations, please contact Esa Rahtu (erahtu at ee.oulu.fi).

CMV/Downloads/LPQMatlab (last edited 2012-01-18 16:12:21 by WebMaster)