Color image processing and applications
Color image processing and applications
On the Representation and Matching of Qualitative Shape at Multiple Scales
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Fast correspondence-based system for shape retrieval
Pattern Recognition Letters
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A discrete model for color naming
EURASIP Journal on Applied Signal Processing
Qualitative similarity measures-The case of two-dimensional outlines
Computer Vision and Image Understanding
Detection and recognition of contour parts based on shape similarity
Pattern Recognition
A Similarity Calculus for Comparing Qualitative Shape Descriptions
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Region-Based image retrieval with perceptual colors
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Retrieving shapes efficiently by a qualitative shape descriptor: the scope histogram
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
A computational model for color naming and describing color composition of images
IEEE Transactions on Image Processing
Journal of Visual Communication and Image Representation
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An approach for qualitative shape and qualitative colour similarity matching is presented in this paper and a first approximation to its application to the assembly of tile ceramic mosaics is given. Qualitative models of shape and colour are used for describing each ceramic tile composing a mosaic. Matrices of similarity values between qualitative shape and qualitative colour parameters are obtained by analysing the conceptual neighbourhood diagrams obtained for each qualitative model. An algorithm for matching the ceramic tiles in the correct place of the mosaic which apply thresholds for shape and colour similarity is defined. It is important to point out that, our approach has been tested in a real application and promising results are obtained.