Abstract
The meaning of conditional entropy Hx(y) in the bivariate entropy method is interpreted theoretically. It is shown that Hx(y) is related to the geometric mean of individual standard deviations of the output distributions when these are Gaussian. This interpretation is used to assess the radiographic granularity by a single number in terms of entropy. It is indicated that Hx(y) in this application is related to the geometric mean of the RMS granularity and represents entropy granularity as defined in this paper. The results of the above analysis and application show that Hx(y) in the bivariate entropy method is a significant measure of the average of the scatter in measured data.
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