Open AccessProceedings Article
Fuzzy Color Space Segmentation to Identify the Same Dominant Colors as Users.
Jose C. Amante,Manuel J. Fonseca +1 more
- pp 48-53
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TLDR
An algorithm based on a reduced palette of 12 colors and on a non-uniform segmentation of the HSV color space using fuzzy membership functions is developed, able to identify the same three dominant colors as users in 50% of the cases, while the classic histogram is only able to identifying 43%.Abstract:
In this paper we propose a solution for the identification of the dominant colors in pictures taking into account the way people perceive them. To that end we developed an algorithm based on a reduced palette of 12 colors and on a non-uniform segmentation of the HSV color space using fuzzy membership functions. Experimental results from an evaluation with users, showed that our algorithm based on the fuzzy histogram is able to identify the same three dominant colors as users in 50% of the cases, while the classic histogram is only able to identify 43%.read more
Citations
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Fuzzy Color Spaces: A Conceptual Approach to Color Vision
Jesús Chamorro-Martínez,Jose Manuel Soto-Hidalgo,Pedro Manuel Martínez-Jiménez,Daniel Sánchez +3 more
TL;DR: This paper introduces formal definitions of the concepts of fuzzy color and fuzzy color space and proposes a methodology for learning fuzzy colors based on the paradigm of conceptual spaces, where prototypes are used for each category to be learnt.
Journal ArticleDOI
JFCS: A Color Modeling Java Software Based on Fuzzy Color Spaces
Jose Manuel Soto-Hidalgo,Pedro Manuel Martínez-Jiménez,Jesús Chamorro-Martínez,Daniel Sánchez +3 more
TL;DR: This paper introduces JFCS (Java Fuzzy Color Space), an open source software for modeling colors on the basis of fuzzy color spaces, which is able to fill the semantic gap between the color representation in computers and the subjective human perception.
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Granular Modeling of Fuzzy Color Categories
TL;DR: Fuzzy granular colors are introduced for modeling color categories which comprise disjoint fuzzy subsets of colors, as well as those having a nonconvex representation in the color space, among other advantages.
Proceedings ArticleDOI
Fuzzy color recognition and segmentation of robot vision scene
Cui Liu,Lianming Wang +1 more
TL;DR: F fuzzy color recognition and segmentation of vision scene of robot based on the combination of fuzzy color quantization and edge extraction of HSV (hue saturation value) color space improves color recognition speed and perception speed of the environment of the robot.
Proceedings ArticleDOI
On a Granular Approach for Fuzzy Color Modelling
TL;DR: This paper introduces the use of Voronoi tessellations for modelling the granules, and illustrates the advantages of the approach with respect to current state of the art on the basis of some experiments.
References
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Basic Color Terms: Their Universality and Evolution
George A. Collier,Paul Kay +1 more
Fuzzy models for pattern recognition
James C. Bezdek,Sankar K. Pal +1 more
TL;DR: The basic structure of fuzzy sets theory as it applies to the major problems encountered in the design of a pattern recognition system is described.
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Single color extraction and image query
John R. Smith,Shih-Fu Chang +1 more
TL;DR: This approach identifies the regions within images that contain colors from predetermined color sets by searching over a large number of color sets, which allows very fast indexing of the image collection by the color contents of the images.