Rotation-invariant and scale-invariant Gabor features for texture image retrieval

Conventional Gabor representation and its extracted features often yield a fairly poor performance in retrieving the rotated and scaled versions of the texture image under query. To address this issue, existing methods exploit multiple stages of transformations for making rotation and/or scaling being invariant at the expense of high computational complexity and degraded retrieval performance. The latter is mainly due to the lost of image details after multiple transformations. In this paper, a rotation-invariant and a scale-invariant Gabor representations are proposed, where each representation only requires few summations on the conventional Gabor filter impulse responses. The optimum setting of the orientation parameter and scale parameter is experimentally determined over the Brodatz and MPEG-7 texture databases. Features are then extracted from these new representations for conducting rotation-invariant or scale-invariant texture image retrieval. Since the dimension of the new f...

• Type: Journal
• Year: 2007
• Where: IVC
• Authors: Ju Han, Kai-Kuang Ma
• Keywords: Conventional Gabor, Conventional Gabor Representation, Gabor Representation, IVC 2006, IVC 2007