W.E. Blanz, Jorge L. C. Sanz, et al.
IEEE Journal on Robotics and Automation
This paper deals with the problem of computing projections of digital images. The novelty of our contribution is that we present algorithms which are suitable for implementation in general purpose image processing and image analysis pipeline architectures. No random access of the image memory is necessary. We propose some new pipeline configurations which achieve a remarkable degree of parallelism in the computation of projection data and, in fact, of many other geometrical descriptors of digital images. Fast computation of projections of digital images is not only important for extracting geometrical information from images, it also makes possible performing a large number of operations on images in Radon space, thereby reducing two-dimensional problems to a series of one-dimensional problems. © 1987 IEEE
W.E. Blanz, Jorge L. C. Sanz, et al.
IEEE Journal on Robotics and Automation
Jorge L. C. Sanz, Anil K. Jain
Journal of the Optical Society of America A: Optics and Image Science, and Vision
Myron Flickner, James Hafner, et al.
IEEE TIP
David C. Munson, Jorge L. C. Sanz
Proceedings of SPIE 1989