Title :
Scale and Rotation Invariant Gabor Features for Texture Retrieval
Author :
Rahman, Md Hafizur ; Pickering, Mark R. ; Frater, Michael R.
Author_Institution :
Sch. of Eng. & Inf. Technol., UNSW, Canberra, ACT, Australia
Abstract :
For image classification applications it is often useful to generate a compact representation of the texture of an image region. The conventional representation of image textures using extracted Gabor wavelet coefficients often yields poor performance when classifying scaled and rotated versions of image regions. In this paper we propose a scale and rotation invariant feature generation procedure for classification and of images using Gabor filter banks. Firstly, to obtain scale and rotation invariant features, each image is decomposed at different scales and orientations. Then, in order to create unique feature vectors, we apply a circular shift operation to both scale and rotation dimensions to shift the maximum value of the Gabor filters to the first orientation of the first scale and the energies of these filtered images are calculated. To demonstrate the effectiveness of our proposed approach we compare its performance with the most recent texture feature generation methods in a classification task. Experimental results show that our proposed feature generation method is more accurate at classifying scaled and rotated textures than the existing methods.
Keywords :
Gabor filters; channel bank filters; feature extraction; image classification; image representation; image retrieval; image texture; wavelet transforms; Gabor filter banks; Gabor wavelet coefficients; circular shift operation; image classification applications; image filtering; image texture representation; rotation invariant gabor feature generation procedure; texture feature generation methods; texture retrieval; Accuracy; Databases; Discrete Fourier transforms; Feature extraction; Gabor filters; Support vector machine classification; Vectors; Brodatz; DTCWT; Gabor filters; Texture classification; scale and rotation invariance;
Conference_Titel :
Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on
Conference_Location :
Noosa, QLD
Print_ISBN :
978-1-4577-2006-2
DOI :
10.1109/DICTA.2011.107