Histogram Equalization¶

This is a method used to normalize the distribution of signal intensity values within an image. If the image has low contrast it will make it easier to threshold.

hist_equalization(img, device, debug=None)

returns device, normalized image

• Parameters:
  • img - the original 2 dimensional grayscale image for analysis.
  • device - Counter for image processing steps
  • debug- None, "print", or "plot". Print = save to file, Plot = print to screen. Default = None
• Context:
  • Used to normalize the distribution of a signal intensity within an image.

Grayscale image





from plantcv import plantcv as pcv

# Examine signal distribution within an image
# prints out an image histogram of signal within image
device, he_img = pcv.HistEqualization(img, device, debug="print")

Normalized image