The segmentation of objects whose color-composition is not trivial represents a difficult task, due to the illumination and the appropriate threshold selection for each one of the object color-components. In this work we propose the Fuzzy C-Means algorithm application for the segmentation of such objects. It is chosen, by the characteristics that it represents the face segmentation. This technical report is organized in the following way: in section 1 a clustering techniques introduction are presented. In section 2 Fuzzy C-means algorithm is analysed and also showed with a simple example. In section 3 Matlab tools, that are used to code the fuzzy C-means algorithm are described. In section 4 the Fuzzy C-Means algorithm is implemented for the face segmentation. Finally in section 5 the results are presented and the possible improvements are proposed.
