文件列表:

testSeg1\resource.h (387, 2009-11-28)
testSeg1\testSeg1.aps (17488, 2009-11-28)
testSeg1\testSeg1.dsp (5645, 2009-11-28)
testSeg1\testSeg1.dsw (539, 2009-11-28)
testSeg1\testSeg1.ncb (1272832, 2009-12-03)
testSeg1\testSeg1.opt (56832, 2009-11-28)
testSeg1\testSeg1.plg (1762, 2009-11-28)
testSeg1\testSeg1.rc (1282, 2009-11-28)
testSeg1\testSeg1.sln (880, 2009-11-28)
testSeg1\testSeg1.suo (18944, 2009-12-03)
testSeg1\testSeg1.vcproj (5537, 2009-11-28)
testSeg1\testSeg1.vcproj.WWW-524E34E69C0.Administrator.user (1427, 2009-12-03)
segment\convolve.h (2072, 2009-11-28)
segment\COPYING (17987, 2006-12-28)
segment\disjoint-set.h (1857, 2006-12-28)
segment\filter.h (2971, 2009-11-28)
segment\image.h (2294, 2006-12-28)
segment\imconv.h (4926, 2006-12-28)
segment\imutil.h (1648, 2006-12-28)
segment\Makefile (338, 2005-02-23)
segment\misc.h (1731, 2006-12-28)
segment\pnmfile.h (5253, 2006-12-28)
segment\segment-graph.h (2191, 2009-11-28)
segment\segment-image.h (4298, 2009-11-28)
segment\segment.cpp (1460, 2009-11-28)
testSeg1\Debug (0, 2009-12-28)
testSeg1 (0, 2009-12-28)
segment (0, 2009-12-28)

Implementation of the segmentation algorithm described in: Efficient Graph-Based Image Segmentation Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, 59(2) September 2004. The program takes a color image (PPM format) and produces a segmentation with a random color assigned to each region. 1) Type "make" to compile "segment". 2) Run "segment sigma k min input output". The parameters are: (see the paper for details) sigma: Used to smooth the input image before segmenting it. k: Value for the threshold function. min: Minimum component size enforced by post-processing. input: Input image. output: Output image. Typical parameters are sigma = 0.5, k = 500, min = 20. Larger values for k result in larger components in the result.

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