This image processing tool reduces all polygons in a Boolean raster image to their single-cell wide skeletons. This operation is sometimes called line thinning or skeletonization. In fact, the input image need not be truly Boolean (i.e. contain only 1's and 0's). All non-zero, positive values are considered to be foreground pixels while all zero valued cells are considered background pixels. The remove_spurs tool is useful for cleaning up an image before performing a line thinning operation.

Note: Unlike other filter-based operations in WhiteboxTools, this algorithm can't easily be parallelized because the output raster must be read and written to during the same loop.

See Also

remove_spurs, thicken_raster_line

Function Signature

def line_thinning(self, raster: Raster) -> Raster: ...

Project Links

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