Perform distance transform on binary image
distance_transform(img, distanceType, maskSize, device, debug=None)
returns device, distance transformed image normalized between 0 and 1
- img - Input image
- distanceType - Type of distance. It can be CV_DIST_L1, CV_DIST_L2 , or CV_DIST_C which are 1,2 and 3 respectively.
- maskSize - Size of the distance transform mask. It can be 3, 5, or CV_DIST_MASK_PRECISE (the latter option is only supported by the first function). In case of the CV_DIST_L1 or CV_DIST_C distance type, the parameter is forced to 3 because a 3 by 3 mask gives the same result as 5 by 5 or any larger aperture.
- device - Counter for image processing steps
- debug - None, "print", or "plot". Print = save to file, Plot = print to screen. Default = None
- Used to perform object segmentation via thresholding and marker-aided watershed segmentation.
- Example use:
- See below.
Input binary image
from plantcv import plantcv as pcv # Perform dilation # Results in addition of pixels to the boundary of object device, distance_transform_img = pcv.distance_transform(mask, 1, 3, device, debug=None)
Image after distance transform