Indexation of images of blood cells by generalized quaternary trees

In this paper, we are going to develop a system of indexation and research for the anomalies of red blood cells. This system uses a local approach which takes into account the spatial localization of globules in the images. The method is based on the image represented by generalized quaternary tree. In this approach we have given to the expert the possibility of choosing the adequate descriptor (color histogram, color texture), for every level, by a simple click on this last one. Currently, our system, called diagnosis, is capable of determining two anomalies of color type which can affected blood cells. He also allows to show the results via an effective graphic interface, which is simple to use and allows for a certain interaction with the user.