3-D Gradient and Curvature Measurement Using Local Image Information

Harry S. Gallarda; Leonard H. Bieman; Kevin G. Harding

doi:10.1117/12.969852

1 April 1990 3-D Gradient and Curvature Measurement Using Local Image Information

Harry S. Gallarda, Leonard H. Bieman, Kevin G. Harding

Proceedings Volume 1194, Optics, Illumination, and Image Sensing for Machine Vision IV; (1990) https://doi.org/10.1117/12.969852
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

This paper describes an image processing method that measures 3-D gradient and curvature information directly from local surface information using structured moire light. The method relies on the use of a sinusoidal grating to produce the moire patterns. It is shown that the gradient can be estimated by ratioing the third and first spatial derivative of the gray-scale image, but this simple solution does not work well in practice. We derive an alternate solution that uses finite differences and computes a Least Square Estimate of the ratio for small regions of the surface. We describe the results of this method implemented on a PC-based image processing system. Initial results indicate that the method worked well, could be applied to many simple 3-D problems, and implemented on an inexpensive computer system.

Citation Download Citation

Harry S. Gallarda, Leonard H. Bieman, and Kevin G. Harding "3-D Gradient and Curvature Measurement Using Local Image Information", Proc. SPIE 1194, Optics, Illumination, and Image Sensing for Machine Vision IV, (1 April 1990); https://doi.org/10.1117/12.969852

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