geometric measures in 2D/3D images 1.0

Contains various functions for measuring or estimating geometric quantities from 2D or 3D images.Parameters available for 2D images are:* the area (number of pixels)* the perimeter (based on Crofton formula)* the(2D) Euler NumberParameters available for 3D images are:* the volume,* the surface area (measured using the Crofton formula),* the mean breadth (also known as integral of mean curvature),* the (3D) Euler NumberMost functions work both for binary and label images. It is possible to specify options (connectivity for Euler Number, number of directions for perimeter or surface area), as well as image resolution in each direction. For some parameters, it is also possible to estimate the density with respect to image area or volume.Example 1: measure perimeter in 2D label image lbl = bwlabel(imread('coins.png') > 100); p = imPerimeter(lbl) p = 184.8668 154.9495 185.1921 267.1690 187.3183 179.5038 182.7406 180.8445 155.5049 155.5049Example 2: measure surface area in 3D binary image img = analyze75read(analyze75info('brainMRI.hdr')); bin = imclose(img>0, ones([5 5 3])); S = imSurface(bin, [1 1 2.5]) % specify resolution ans = 2.7291e+004

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Density,  Direction,  Estimate,  Measure,  Options,  Parameters,  Resolution,  Respect
Users rating:	0/10