Figure 2 (that you did not happen to show) apparently lists a series of threshold levels for histogramming. If you place those in a vector named "Levels", from smallest to largest (possibly with a leading 0), then the count of the values between Levels(i) and Levels(i+1) are what h(i) is. So for example,
h = histc(YourData, Levels)
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