Image segmentation using spatial linear prediction

This paper discusses the use of spatial linear prediction to detect region borders in aerial photographs and thus segment the image into regions of differing natural terrain. The algorithm is motivated by a significance test which under certain assumptions and approximations can be expressed as the weighted sum of error residuals of two-dimensional (2-D) linear prediction. Examples are presented to illustrate the performance of the algorithm.