Retrieving scale from quasi-stationary images

(204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived from Gray Level Co-occurrence Matrices (GLCM). Unlike other methods for multi-scale texture characterization, our method does not require rotation-invariant textural features, but instead uses orientation information derived from the image to constrain the algorithm. Our method computes GLCM textural features on a "stencil" that follows the local orientation field. It compares features obtained from a sliding window that scans the whole image with those present on a user-selected reference pattern. The method then calculates a similarity measure between textural features derived from the whole image and those derived from the reference pattern. By applying different affine transforms to the stencil used for sampling the reference pattern, we are able to measure the similarity between regions of the im...

• Type: Journal
• Year: 2008
• Where: PRL
• Authors: Piotr W. Mirowski, Daniel M. Tetzlaff
• Keywords: Image, PRL 2008, Reference Patterns, Textural Features