Sum and Difference Histograms for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting texture periodicity from the co-occurrence matrix
Pattern Recognition Letters
Extracting periodicity of a regular texture based on autocorrelation functions
Pattern Recognition Letters
Window-size determination for granulometrical structural texture classification
Pattern Recognition Letters
Fast determination of textural periodicity using distance matching function
Pattern Recognition Letters
Textons, Contours and Regions: Cue Integration in Image Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Recognizing Surfaces Using Three-Dimensional Textons
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
The Promise and Perils of Near-Regular Texture
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
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
Shape from Texture without Boundaries
International Journal of Computer Vision
Quantitative Evaluation of Near Regular Texture Synthesis Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Tile-Based Interactive Texture Design
Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
Periodic pattern of texture analysis and synthesis based on texels distribution
The Visual Computer: International Journal of Computer Graphics
Homogeneity cues for texel size estimation of periodic and near-periodic textures
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
A Theoretical Comparison of Texture Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture periodicity detection: features, properties, and comparisons
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper, we address the texel size estimation of periodic and near-periodic texture images. Such a problem has shown to be difficult when corrupted and distorted patterns are analyzed, and the accuracy and robustness are significant. In this study, we propose the use of the homogeneity cues computed using a difference histogram. Varying the displacement vector that relates two pixels and localizing the resultant homogeneity maximum value, we can automatically determine the texel size. Experiments were carried out in order to evaluate the performance of our method. Results on artificially distorted images and on natural near-periodic images, show that the proposed approach is more accurate and robust than other state-of-the-art methods. Furthermore, the computation of homogeneity cues is not intricate nor time-consuming, and hence, it can be considered for practical applications where computation time is critical.