Title :
Fuzzy clustering for color recognition application to image understanding
Author :
Khodja, Lotfi ; Foulloy, Laurent ; BENOIT, Eric
Author_Institution :
Lab. d´´Autom. et de Micro-Inf. Ind., Savoie Univ., Chambery, France
Abstract :
Color related information is used for image analysis purposes. The FCM, the fuzzy KNN, and a proposed interpolation method based on the Delaunay triangulation are applied for the segmentation of color images. Clustering by means of triangulations is computed by linearly interpolating the membership functions. The interpolation is obtained by piece-wise approximation over a triangulation of a set of training samples. We intend to implement this new technique in fuzzy sensors performing a symbolic description of measurements. The Delaunay triangulation has proved to be suitable for clustering tasks
Keywords :
computational geometry; fuzzy set theory; image classification; image colour analysis; image segmentation; interpolation; mesh generation; Delaunay triangulation; FCM; color recognition; fuzzy KNN; fuzzy clustering; fuzzy sensors; image analysis; image understanding; interpolation method; piece-wise approximation; Clustering algorithms; Image color analysis; Image recognition; Image segmentation; Interpolation; Iterative algorithms; Minimization methods; Nearest neighbor searches; Performance evaluation; Sensor phenomena and characterization;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552382
