Abstract
A new approach of semi-automated image segmentation based on multi-label pixel was presented.First,a weighted graph of un-processing image was defined by Gaussian weighting function.Second,the pixels of different goal region were labeled differently in source image.An un-labeled pixel was randomly selected as the starting point.Then,random walking started from this location according to the defined weighted graph,calculating the probability from the start point to each pre-labeled pixels.A probability graph toward each unlabeled pixel was obtained,which represented all probabilities that each unlabeled pixel randomly reached each of pre-labeled pixels.The greatest probability was taken as its objective,therefore,a high-quality image segmentation could be obtained.
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