Histogram.pdf#
- property Histogram.pdf: ndarray#
Empirical probability density function (PDF)
- Returns:
array of cumulative histogram count values
- Return type:
ndarray(N) or ndarray(N,P)
This the histogram count normalized such that the sum is 1.0. This is computed by dividing the histogram counts by the total number of pixels in each plane.
For a greyscale image this is a 1D array, for a multiplane (color) image this is a 2D array with the cumulative histograms of each plane as columns.
Example:
>>> from machinevisiontoolbox import Image >>> import numpy as np >>> hist = Image.Read('flowers1.png').hist()