There is considerable current interest in deriving accurate dimensional measurements of the internal geometry of complex manufactured parts, particularly castings. This paper describes an approach to the reconstruction of 3D part geometry from multiple digital X-ray images. A novel method for radiographic stereo is described which takes into account the special imaging geometry of the digital X-ray sensor modeled by a linear moving array, or pushbroom, camera. The 3D reconstruction algorithm employs a nominal geometric model which is perturbed by X-ray image constraints. Manufacturing applications are discussed and illustrated by experimental results on synthetic phantoms and actual casting images.>

The concepts and design issues that provide the basis for the I/sup 2/F (image interpretation foundations) system are described. The I/sup 2/F system combines object-oriented design for machine vision software and constraint-based geometric modeling into a flexible and effective system for automatic template-guided visual inspection. Object-oriented design for 2-D geometry-based image analysis is discussed, and results from processing experimental X-ray data are presented.>

A new logical transform processor has been designed and its performance presented in this correspondence. The design incorporates the speed advantage of a locally parallel processor and yet has the capability of processing images of widely ranging dimension. Sixteen pixels are processed simultaneously using table lookup. Image size and neighborhood size are under program control of the host computer, a Perkin-Elmer 3220. This logical transform processor is capable of executing picture point operations in 50 ns.