1 / A method of processing images for automatically partitioning an image, or a plurality of elements, or of objects of shape that is meaningful solely on the basis of the data constituting the image to be analyzed, the method being characterized in that it comprises the following steps: a) producing, from the image to be analyzed, first, second, and third correlated achromatic single-plane images containing all of the information in the image to be analyzed but presenting different color characteristics; b) subjecting the first, second, and third images to a plurality of segmentation operations to find uniform components based on differing criteria; c) for each of the first to third processed images, analyzing the results of the various segmentation operations in order to generate “cores” that are constituted by zones presenting high certainty of the existence of objects in association with each of the first to third processed images; d) for each of the first to third processed images, comparing the cores that result from the various segmentation operations and conserving as indicative of the presence of an object those zones which correspond to more than a determined threshold of different cores in quantity; e) performing weighted summing of the first to third images as processed in order to obtain a first result image containing the cores of the uniform components; f) coloring and then binarizing the first result image in order to obtain a second result image containing the uniform components; and g) extracting the individualized objects from the image.