Image thresholding by indicator kriging

We consider the problem of segmenting a digitized image consisting of two u nivariate populations. Assume a priori knowledge allows incomplete assignme nt of voxels in the image, in the sense that a fraction of the voxels can b e identified as belonging to population II0, a second fraction to II1, and the remaining fraction have no a priori identification. Based upon estimate s of the short length scale spatial covariance of the image, we develop a m ethod utilizing indicator kriging to complete the image segmentation.