Paper
17 January 2006 Rotation and translation invariant feature extraction using angular projection in frequency domain
Author Affiliations +
Proceedings Volume 6073, Multimedia Content Analysis, Management, and Retrieval 2006; 60730O (2006) https://doi.org/10.1117/12.650562
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
This paper presents a new approach to translation and rotation invariant texture feature extraction for image texture retrieval. For the rotation invariant feature extraction, we invent angular projection along angular frequency in Polar coordinate system. The translation and rotation invariant feature vector for representing texture images is constructed by the averaged magnitude and the standard deviations of the magnitude of the Fourier transform spectrum obtained by the proposed angular projection. In order to easily implement the angular projection, the Radon transform is employed to obtain the Fourier transform spectrum of images in the Polar coordinate system. Then, angular projection is applied to extract the feature vector. We present our experimental results to show the robustness against the image rotation and the discriminatory capability for different texture images using MPEG-7 data set. Our Experiment result shows that the proposed rotation and translation invariant feature vector is effective in retrieval performance for the texture images with homogeneous, isotropic and local directionality.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bumshik Lee and Munchurl Kim "Rotation and translation invariant feature extraction using angular projection in frequency domain", Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 60730O (17 January 2006); https://doi.org/10.1117/12.650562
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KEYWORDS
Image retrieval

Fourier transforms

Feature extraction

Radon transform

Databases

Image classification

Holmium

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