Abstract: The invention concerns a process for the representation of a scanning function by means of a neuronal network and a device for the implementation of the process, whereby measurement values associated with a turbulent wave front, which contain phase information, are compared with reference values, with the result that the intermediate values thus obtained can be compared with comparison functions, in order, in the best case, to describe the measured pattern with a selection of comparison functions, whereby a neuronal network is trained in the comparison functions, so that the processing of the measured pattern can take place in near-real time.

Abstract: A method for processing images consisting of pixels generated by an image sensor with a view to supplying input data to a simulated or wired neural process. The method includes reading pixels pixel-by-pixel in real time and constructing prototype vectors during the pixel-by-pixel reading process on the basis of the values read, the prototype vectors constituting the input data of the neural process.

Abstract: The invention concerns a process for the representation of a scanning function by means of a neuronal network and a device for the implementation of the process, whereby measurement values associated with a turbulent wave front, which contain phase information, are compared with reference values, with the result that the intermediate values thus obtained can be compared with comparison functions, in order, in the best case, to describe the measured pattern with a selection of comparison functions, whereby a neuronal network is trained in the comparison functions, so that the processing of the measured pattern can take place in near-real time.

Abstract: The technical field of the invention is that of processing or generating image data, and it more particularly relates to a method for processing images consisting of pixels generated by an image sensor with a view to supplying input data to a simulated or wired neural process. The method is characterized in that it comprises a step of reading pixel-by-pixel in real time by processing means and a step of constructing prototype vectors during the pixel-by-pixel reading process on the basis of the values read, the prototype vectors constituting the input data of the neural process. It is intended for applications in global environmental perception and movement analysis. The method to which the invention relates may also be used for conventional image processing operations such as temporal filtering, and it makes it possible to save on computing time and memory space.