Maximum area triangle operator for edge detection

Jean-Pierre Reveilles; J. Yaacoub

doi:10.1117/12.276855

1 October 1997 Maximum area triangle operator for edge detection

Jean-Pierre Reveilles, J. Yaacoub

Author Affiliations +

Journal of Electronic Imaging, Vol. 6, Issue 4, (October 1997). https://doi.org/10.1117/12.276855

Abstract

Currently images are more often noisy than regular, and universal contour extraction operators are few. The purely discrete operators are rather crude and inaccurate, while the more precise operators, which relying on the continuous approach, are complicated and rather slow. Using the restriction of gray level images to 3 x 3 masks interpreted as 3D digital surfaces, we present a new way of computing exactly the normal vector, or gradient, at regular points. Despite the fact that regular points are seldom on a general image, we deduce from this theoretical result a new discrete contour extraction operator, based on max area triangles contained in 3 x 3 masks (the MAT operator), which yields high quality results,comparable with those of continuous operators.

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Jean-Pierre Reveilles and J. Yaacoub "Maximum area triangle operator for edge detection," Journal of Electronic Imaging 6(4), (1 October 1997). https://doi.org/10.1117/12.276855

Published: 1 October 1997

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