Abstract: The present invention relates to a method of designating an object in an image. The method includes: designating a point inside the object in the image; segmenting the image into elementary regions; identifying an origin region to which the point belongs; constructing a graph of connectedness between the regions; calculating a function of membership in the object for the regions connected to the origin region, by combining various membership criteria; merging the origin region with its connected regions, a connected region being merged if the value of its membership function is greater than a predetermined threshold; wherein the steps of calculating membership functions of the connected regions and of merging is repeated for each new merged region until no merging is performed. One or more embodiments of the invention applies to image processing in order to perform the graphical designation of an object by an operation that is simple for a user.

Abstract: In the method, correlated achromatic single-plane images are subjected to a plurality of operations for segmenting them into uniform components on the basis of different criteria. The results of the various segmentation operations for each of the processed correlated images are analyzed in order to generate cores constituted by zones presenting high certainty as to the existence of objects. The resulting cores are compared and those zones which correspond to more than some determined threshold of the various cores are conserved as indicating the presence of an object. The previously processed images are subjected to a weighted summing operation in order to obtain a first result image containing the uniform component cores. The first result image is then subjected to coloring followed by binarization in order to obtain a second result image containing the uniform components, and the individualized objects are extracted from the image.

Abstract: In the method, correlated achromatic single-plane images are subjected to a plurality of operations for segmenting them into uniform components on the basis of different criteria. The results of the various segmentation operations for each of the processed correlated images are analyzed in order to generate cores constituted by zones presenting high certainty as to the existence of objects. The resulting cores are compared and those zones which correspond to more than some determined threshold of the various cores are conserved as indicating the presence of an object. The previously processed images are subjected to a weighted summing operation in order to obtain a first result image containing the uniform component cores. The first result image is then subjected to coloring followed by binarization in order to obtain a second result image containing the uniform components, and the individualized objects are extracted from the image.