Title :
The design of two-dimensional gradient estimators based on one-dimensional operators
Author :
Zeevi, Yehoshua Y.
fDate :
1/1/1996 12:00:00 AM
Abstract :
Two-dimensional (2-D) gradient estimators are some of the most useful tools in image processing. A computational procedure for the extension of one-dimensional (1-D) gradient estimators to two dimensions (2-D) is presented. The procedure is equivalent to the surface fitting method. It is, however, simpler in design, as the design is 1-D rather than 2-D. Higher order derivative estimators can also be constructed by the same procedure
Keywords :
image processing; numerical analysis; surface fitting; 1D gradient estimators; computational procedure; higher order derivative estimators; image processing; interpolation; one-dimensional operators; surface fitting method; two-dimensional gradient estimators; Filters; Image processing; Interpolation; Kernel; Least squares approximation; Neural networks; Stress; Surface fitting; Symmetric matrices; Two dimensional displays;
Journal_Title :
Image Processing, IEEE Transactions on
