| 12345678910111213141516171819202122232425262728 |
- % function [ segImg, noRegions ]= segmentFelzenszwalb(imgInput, sigma, k, minSize, computeColorOutput, destination, verbose)
- %
- % BRIEF: segmentFelzenszwalb Run the region segmentation algorithm of Felzenszwalb and Huttonlocher
- %
- % The function accepts the following options:
- % INPUT:
- % imgInput -- (string or 3d-matrix over uint8 )
- % sigma -- bandwidth of Gaussian kernel to smooth the image (optional, scalar, default: 0.5)
- % k -- influences the threshold accept a boundary between regions, larger k -> larger regions,(optional, scalar, default: 500)
- % minSize -- minimum component size enforced by post-processing stage (optional, scalar, default: 50)
- % computeColorOutput -- compute colored segm output (rgb) or region indicees (gray)? (optional, logical, default: false)
- % destination -- filename where the image shell be stored (optional, string)
- % verbose -- print additional information (optional, logical, default: false)
- %
- % OUTPUT:
- % segImg -- segmentation result, either colored or with region indicees (optional, 3d-matrix or 2d-matrix over uint8)
- % noRegions -- total number of regions (optional, uint8)
- %
- %
- % Example:
- % segResult = segmentFelzenszwalb(imgOrig);
- % segResult = segmentFelzenszwalb(imgOrig,0.5, 200, 20, true, 0 , true);
- %
- % Authors: Alexander Freytag
- % Copyright (C) 2013 Alexander Freytag
- % All rights reserved.
|
