Takes an input image and returns a binary image masked by a rectangular area denoted by p1 and p2. Note that p1 = (0,0) is the top left hand corner bottom right hand corner is p2 = (max-value(x), max-value(y)).

plantcv.rectangle_mask(img, point1, point2, color="black")

returns masked, binary img, contours, hierarchy

  • Parameters:
    • img - RGB or grayscale image data
    • p1 - Point is the top left corner of rectangle (0,0) is top left corner
    • p2 - Point is the bottom right corner of rectangle (max-value(x),max-value(y)) is bottom right corner
    • color - "black", "gray","white", default is "black". This acts to select (mask) area from object capture (need to invert to remove).
  • Context:
    • Used to mask rectangular regions of an image
  • Example use:

Grayscale 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 = "print"

# Makes a rectangle area that will be treated as a mask
masked, binary, contours, hierarchy = pcv.rectangle_mask(img, (0,0), (75,252), color="black")

Region of interest


Masked image