Processing of the Connected Shapes in Raster-to-Vector Conversion Process
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Combination of Invariant Pattern Recognition Primitives on Technical Documents
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Case-Based Approach to Image Recognition
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Colour and rotation invariant textural features based on Markov random fields
Pattern Recognition Letters
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Texture is an important cue in region-based segmentation of images. We provide an insight into the development of a new set of distortion-invariant texture operators. These “circular-Mellin” operators are invariant to both scale and orientation of the target and represent the spectral decomposition of the image scene in the polar-log coordinate system. Coupled with the unique shift invariance property of the correlator architecture, we show that these circular-Mellin operators can be used for rotation-and scale-invariant feature extraction. We note that while these feature extractors have a functional form that is similar to the Gabor operators, they have distortion-invariant characteristics unlike the Gabor functions that make them more suitable for texture segmentation. A detailed analytical description of these operators and segmentation results to highlight their salient properties are presented