Plot Histogram¶

This is a plotting method used to examine the distribution of signal within an image.

plantcv.plot_hist(gray_img, mask=None, bins=256)

returns bins, hist

• Parameters:
  • gray_img - Grayscale image data, the original image for analysis.
  • mask - Optional binary mask made from selected contours (default mask=None)
  • bins - Number of class to divide spectrum into
• Context:
  • Examine the distribution of the signal, this helps you select a value for binary thresholding.
• Example use:
  • Use In NIR Tutorial

Grayscale image




Mask

from plantcv import plantcv as pcv

# Examine signal distribution within an image
# prints out an image histogram of signal within image
header, hist_data, hist_figure = pcv.plot_hist(gray_img, mask=mask, bins=256)

Histogram of signal intensity