By counting the number of pixels at each stage of the granulometry, a size distribution i generated that can be employed as a signature of the image. Normalization of the size distribution produces a probability distribution in the usual sense. An adaptation of the method that is appropriate to texture-based segmentation is described. Rather than construct a single size distribution based on the entire image, local size distributions are computed over windows within the image. These local size distributions lead to granulometric moments at pixels within the image, and if the image happens to be partitioned into regions of various texture, the local moments will tend to be homogeneous over any given region.
Segmentation results from segmenting images whose gray values are local moments.
Especially useful are the mans of the local size distributions. Goodness of segmentation depends on the local probability distributions of the granulometric-moment images. This image processing LSI controller includes a resolution converter and error diffusion halftone processing circuits in 4000 gates. An efficient parallel structure that used multirate techniques is introduced for image analysis by the method of moments. The basic idea of the proposed method is to split the original image into a set of subband signals using a bank of bandpass filters.