Mask out Color Card¶

Automatically detects a color card and creates a bounding box mask.

plantcv.transform.mask_color_card(rgb_img, **kwargs)

returns color_card_mask

• Parameters
  • rgb_img - Input RGB image data containing a color card.
  • **kwargs - Other keyword arguments passed to cv2.adaptiveThreshold and cv2.circle.
    • adaptive_method - Adaptive threhold method. 0 (mean) or 1 (Gaussian) (default = 1).
    • block_size - Size of a pixel neighborhood that is used to calculate a threshold value (default = 51). We suggest using 127 if using adaptive_method=0.
    • radius - Radius of circle to make the color card labeled mask (default = 20).
    • min_size - Minimum chip size for filtering objects after edge detection (default = 1000)
• Returns
  • color_card_mask - Bounding box mask of all detected color card chips
• Context:
  • This function can be used with pcv.image_subtract to clean up noise in a plant mask that was introduced by the color card. This is helpful in cases where the color card placement is not consistent enough for region filters to clean the color card chips from all images in a dataset.
• Example use:
  • below

RGB Image

Seed head mask

from plantcv import plantcv as pcv

# Detect and mask the color card in the image
cc_mask = pcv.transform.mask_color_card(rgb_img=img)

# Remove color card chips from the plant mask with image subtract
cleaned_mask = pcv.image_subtract(gray_img1=plant_mask, gray_img2=cc_mask)

Cleaned mask

Source Code: Here