Published February 8, 2024 | Version v1
Dataset Open

MATLAB code for locating critical points in binary images based on "Efficient pore space characterization based on the curvature of the distance map"

  • 1. ROR icon Institute of Environmental Assessment and Water Research

Description

% This function evaluates the coordinates and radius of the pores' bodies
% and throats and give a label image of the segmented pore system

% The algorithm computes the distance map of a binary image and then uses 
% its curvatures to locate the saddle points.
% The bodies centers are located at the local maximum of the Hessian matrix 
% determinant map and the saddle points at the local minima of the Hessian 
% matrix determinant map.

Files

Files (290.5 kB)

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md5:0f53689989cafd0a056ab1f7a6325e6a
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md5:36be5e25aa59cba4e9b1f1bd21e5f2f0
268.9 kB Download

Additional details

Software

Programming language
MATLAB