On Autonomous Computing and Cognitive Processes
ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
Automatic Identifying Weave Patterns for Double-Layer Weft Woven Fabric
CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
Relevance feedback based on genetic programming for image retrieval
Pattern Recognition Letters
Editorial Recent Advances in Cognitive Informatics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Cognitive informatics models of the brain
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Entropy-Based Fabric Weave Pattern Indexing and Classification
International Journal of Cognitive Informatics and Natural Intelligence
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Weave patterns are amongst the most popular design patterns in society's daily lives with numerous applications. In the fabric design process, designer selects weave patterns based on the cognitive interpretation of the material structure in the fabric texture. In the selection activity of weave patterns, texture indexing and prioritization are curial tasks. These are associated with a cognitive process of interpretation and understanding of the texture elements in the woven structure of fabrics. In this regard, the authors use an interdisciplinary approach to help designer select weave texture patterns through structure and texture features and implement new algorithms that take into account essential features or rules in fabric pattern design. The features and algorithms are designed based on the object-attribute-relation OAR model and a cognitive informatics model. Three essential cognitive features of weave patterns are proposed, 1 the complexity of patterns in the fabric production process, 2 the structural appearance feature, and 3 cognitive tracking features for weave patterns. The authors' experiments on a wide variety of weave patterns show that the proposed approach is capable of effectively prioritizing the cognitive features of weave patterns in fabric texture design process.