Analyze the Size and Shape Characteristics of Objects

Size and shape analysis outputs numeric properties for individual plants, seeds, leaves, etc.

littlecv.analyze.size(img, mask, label="littlecv_test", plot=True)

returns analysis_image

  • Parameters:
    • img - numpy.ndarray, RGB or grayscale image data for plotting.
    • mask - numpy.ndarray, binary mask of object.
    • label - str, label for outputs
    • plot - Logical, should a debug image be printed? Defaults to True.
  • Context:
    • Used to output size and shape characteristics of individual objects (labeled regions).
    • About the analysis image: We draw some of the measured shape characteristics on the input img. The height, width, longest path, convex hull, and centroid are drawn in magenta. The edges of the object is drawn in blue.
  • Output data stored: Data ('area', 'convex_hull_area', 'solidity', 'perimeter', 'width', 'height', 'longest_path', 'center_of_mass, 'convex_hull_vertices', 'object_in_frame', 'ellipse_center', 'ellipse_major_axis', 'ellipse_minor_axis', 'ellipse_angle', 'ellipse_eccentricity', 'total_edge_length') are returned as an Outputs class object, which is basically a dictionary.

from littlecv import littlecv as lcv

# Characterize object shapes
outputs, analysis_image = lcv.size(img=img, mask=mask)

Source Code: Here