Analyze Color¶

Extract color data of objects and produce pseudocolored images, can extract data for RGB (Red, Green, Blue), HSV (Hue, Saturation, Value) and LAB (Lightness, Green-Magenta, Blue Yellow) channels.

plantcv.analyze_color(rgb_img, mask, hist_plot_type=None, label="default")

returns Histogram image (if hist_plot_type is not None, otherwise returns None object)

• Parameters:
  • rgb_img - RGB image data
  • mask - binary mask of selected contours
  • hist_plot_type - None (default), 'all', 'rgb', 'lab', or 'hsv'. This can limit the data saved out. Hue data is still saved out when set to None.
  • label - Optional label parameter, modifies the variable name of observations recorded. (default label="default")
• Context:
  • Used to extract color data from RGB, LAB, and HSV color channels.
  • Generates histogram of color channel data.
• Example use:
  • Use In VIS Tutorial
• Output data stored: Data ('blue_frequencies', 'green_frequencies', 'red_frequencies', 'lightness_frequencies', 'green-magenta_frequencies', 'blue-yellow_frequencies', 'hue_frequencies', 'saturation_frequencies', 'value_frequencies', 'hue_circular_mean', 'hue_circular_std', 'hue_median') automatically gets stored to the Outputs class when this function is ran. These data can always get accessed during a workflow (example below). For more detail about data output see Summary of Output Observations

Original image

from plantcv import plantcv as pcv

# Set global debug behavior to None (default), "print" (to file), 
# or "plot" (Jupyter Notebooks or X11)

pcv.params.debug = "plot"

# Analyze Color

analysis_image = pcv.analyze_color(rgb_img=rgb_img, mask=mask, hist_plot_type='all', label="default")

# Access data stored out from analyze_color
hue_circular_mean = pcv.outputs.observations['default']['hue_circular_mean']['value']

Histograms of (R, G, B), (H, S, V), and (L, A, B) color channels

Pseudocolored value-channel image

Note: The grayscale input image (e.g. value-channel) and object mask can be used with the pcv.visualize.pseudocolor function which allows the user to pick a colormap for plotting.

Source Code: Here