This is a plotting method used to examine the distribution of signal within an image.
returns bins, hist
- img - RGB or grayscale image data, the original image for analysis.
- name - the name of the output plot as a string (default: name=False)
- Examine the distribution of the signal, this help you select a value for binary thresholding.
- Example use:
from plantcv import plantcv as pcv # Examine signal distribution within an image # prints out an image histogram of signal within image bins, hist = pcv.plot_hist(img, 'histogram')
Histogram of signal intensity