Description: Based on Markov random field algorithm of image processing algorithms for image denoising and segmentation are of great help, the learners have some help
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File list (Check if you may need any files):
MRF
...\addNoise.m
...\computeBeliefs.m
...\gaussplot.m
...\getCliqueProb.m
...\getLogProb.m
...\getPropMat.m
...\getRasterNeighbors.m
...\ICM.m
...\initBPMessages.m
...\initICM.m
...\initLocalEvidence.m
...\initMRF.m
...\initNodes.m
...\initPaths.m
...\ipf.m
...\marginals2image.m
...\multMessages.m
...\oneIterBP.m
...\runBP.m
...\shengtu.bmp
...\showIm.m
...\states2image.m
...\testMRF.asv
...\testMRF.m
...\utAxisAngleToRotmat.m
...\utCropImageToPowerOfTwo.m
...\utFilename.m
...\utIf.m
...\utIsScalarBoolean.m
...\utIsScalarInteger.m
...\utIsScalarReal.m
...\utIsSingleString.m
...\utNormalize.m
...\utParseArgs.m
...\utReadPnm.m
...\utRotmatToAxisAngle.m
...\utSafeInverse.m
...\utSafeMult.m
...\utSigmoid.m
...\utWritePnm.m
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