Texture Discrimination Using an Adaptive Multiresolution Network Filter

sizes. It is also known that the neighbourhood size affects This paper proposes a new discrimination method for the discrimination ability in other methods [8]. textured images using an adaptive multiresolution network This paper proposes a new discrimination method filter. First, the local transformation function is determined using GMDH, which is applied to actual textured images by a modified GMDH (Group Method of Data Handling) so with unknown element sizes. The first part of this paper as to have a high discrimination ability. Next, the method is describes a new process to obtain the local transformation extended to obtain a function in terms of multiresolution function, which is expressed by the polynomial of the pixel densities for the discrimination of an image with an selected pixels in a bounded neighbourhood so as to obtain unknown texture element size. Finally, the grouping of areas the discrimination ability as high as possible. The next part having the same texture characteristics is achieved by describes the modification of the process to the applying the same procedure to the output of the function. discrimination at several resolutions. Finally, the proposed The practicability of this filter is experimentally confirmed method is applied to several kinds of textured images. The using several kinds of images. practicability of the method is confirmed through these experiments.