A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
One-click lattice extraction from near-regular texture
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Extraction of a representative tile from a near-periodic texture
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Boolean derivatives with application to edge detection for imaging systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatic peak number detection in image symmetry analysis
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
ESVC-based extraction and segmentation of texture features
Computers & Geosciences
Fast texel size estimation in visual texture using homogeneity cues
Pattern Recognition Letters
Lattice estimation from images of patterns that exhibit translational symmetry
Image and Vision Computing
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The structure extraction problem is analyzed. The cooccurrence matrices (CMs) are the popular basis for this goal. We show that a binary preparation of an arbitrary periodical texture preserves its structure. This transformation decreases the computation time of analysis and the required memory. Twenty-two features adapted for detecting displacement vectors on binarized images are analyzed and compared. We suggest using the CM elements jointly as the united feature for this goal. We show that it is a stable detector for noisy images and simpler than well-known χ2 and κ statistics