A novel initialization scheme for the fuzzy c-means algorithm for color clustering
Pattern Recognition Letters
Development of a humanoid robot for emotion recognition
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Color Space Transformation from RGB to CIELAB Using Neural Networks
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Fusion of multi-exposure images
Image and Vision Computing
Application of K- and Fuzzy c-Means for Color Segmentation of Thermal Infrared Breast Images
Journal of Medical Systems
An approach to the recognition of informational traffic signs based on 2-d homography and SVMs
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
International Journal of Computer Applications in Technology
Computers and Electronics in Agriculture
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The perceptually uniform color space CIELAB (Commission Internationale de l'Eclairage) is useful for image analysis, particularly in applications involving color acceptability decision making; however, the transformation of an entire red-green-blue (RGB) color image is very time consuming. Various techniques are investigated for approximating the nonlinear function, and their performance in terms of speed and accuracy is assessed. This article arises from a project that aims to use video cameras to monitor the color of manufactured products