Contour (`ripplemapper.contour`)#

Contour contains functions which are used to generate and manipulate contours from the image data.

ripplemapper.contour Module#

Ripplemapper contours module.

`find_contours`(edges_cleaned[, level])	Find contours in the edge image and approximate them to simplify.
`compute_recursive_midpoints`(poly_a, poly_b, ...)	Compute midpoints between two contours recursively, addressing the shape mismatch.
`extend_contour`(contour, shape)	Extend the contour to the edges of the image region defined by shape.
`combine_contours`(contour1, contour2)	Combine two contours into one.
`smooth_contour`(contour[, window])	Smooth a contour by convolving with a small window.
`distance_map`(binary_map)	Compute the distance map of a binary image.
`neighbors`(node, grid_shape)	Generate neighbors for a given node.
`a_star`(start, goal, grid)	A simple A* algorithm for pathfinding.
`get_next_node`(node, dx, dy)	Get the next node coordinates by moving in the given direction.
`find_boundaries`(gray_image)	Find the upper and lower boundaries of the edge region.
`find_bump_limits`(large_changes[, current, ...])	Recursive function to find the limits of "small" bumps in the data.
`smooth_bumps`(contour[, max_size, std_factor])	Function to smooth out bumps in the contour data.
`average_boundaries`(self[, contour_a, ...])	Average the two contours to get a more accurate representation of the interface.