A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Islamic star patterns in absolute geometry
ACM Transactions on Graphics (TOG)
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
Structural Description of Textile and Tile Pattern Designs Using Image Processing
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
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
Methodology for graphic redesign applied to textile and tile pattern design
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
IEEE Transactions on Computers
IEEE Transactions on Circuits and Systems for Video Technology
Islamic geometrical patterns indexing and classification using discrete symmetry groups
Journal on Computing and Cultural Heritage (JOCCH)
Hi-index | 0.01 |
In this paper, we propose a new method for the indexing and classification of Islamic Stars Pattern (ISP) images based on rotational symmetry information. A computational model for the extraction of rotational symmetry features is proposed. This model is based on the three following steps. First, we detect the rotation center of the ISP image, then we complete the image structure by using symmetry information. Second, we compute the angle of rotation and number of folds. Finally, we extract the fundamental region, a representative region in the image from which the whole image can be regenerated. A method is also proposed for indexing and classifying ISP images on the basis of the extracted features. The classification algorithm is based on the number of folds. We characterize an image by its fundamental region and by its class which is defined in the classification step. Experiments show promising results either for ISP images classification or indexing. Efforts for the subsequent task of repeated pattern images classification can be significantly reduced.