Pseudocolor any Grayscale Image

This function pseudocolors any grayscale image to custom colormap. An optional mask can leave background out in the pseudocolored image. Additionally, optional maximum and minimum values can be specified.

plantcv.pseudocolor(gray_img, mask=None, background="image", cmap=None, min_value=0, max_value=255, obj=None, dpi=None, axes=True, path=".")

returns pseudocolored image that can be saved with pcv.print_image

  • Parameters:
    • gray_img - Grayscale image data
    • mask - Binary mask made from selected contours
    • background - background color/type. Options are "image" (gray_img), "white", or "black". A mask must be supplied.
    • cmap - Custom colormap, see here for tips on how to choose a colormap in Matplotlib.
    • min_value - Minimum value (optional) for range of interest.
    • max_value - Maximum value (optional) for range of interest.
    • obj - Single or grouped contour object (optional), if provided the pseudocolored image gets cropped down to the region of interest.
    • dpi - Dots per inch for image if printed out (optional, if dpi=None then the default is set to 100 dpi).
    • axes - If False then x- and y-axis won't be displayed (default axes=True).
    • path - Path giving location the image will get saved.
  • Context:
    • Used to pseudocolor any grayscale image to custom colormap
  • Example use:

Original grayscale image

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Mask

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from plantcv import plantcv as pcv

pcv.params.debug='plot'

# Pseudocolor an image with 'viridis' colormad
pseudo_img = pcv.pseudocolor(gray_img=img, mask=None, cmap='viridis', min_value=0, max_value=255, path='.')

# Pseudocolor the same image but include the mask and limit the range of values
pseudo_img_masked = pcv.pseudocolor(gray_img=img, mask=mask, background="white", cmap='viridis', min_value=30, max_value=200, path='.')

# Save the masked and pseudocolored image
pcv.print_image(pseudo_img_masked, 'nir_tv_z300_L1_pseudocolored.png')

# Pseudocolor the masked area and plot on the grayscale background
pseudo_img_on_input = pcv.pseudocolor(gray_img=img, mask=mask, background="image", cmap="viridis")

# Print out a pseudocolored image with cropping enabled, axes disabled, and higher dpi value.
pcv.params.debug='print'
pseudo_crop_no_axes = pcv.pseudocolor(gray_img=img, mask=mask, background=="white", obj=obj, cmap='viridis', dpi=200, axes=False)

# Use a black background instead
pseudo_img_black_bkgd = pcv.pseudocolor(gray_img=img, mask=mask, background="black", cmap=cmap)

Pseudocolored Image

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Pseudocolored and Masked Image

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Pseudocolored, Plotted on Input Image Screenshot

Pseudocolored, Cropped, Disabled Axes Image

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Pseudocolored and Masked with Black Background

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