IEEE Transactions on Pattern Analysis and Machine Intelligence · 1988 · 220 citations · 12 references
ComputingComputer ScienceComputer VisionDigital ImagingSpatial AnalysisDigital Image ProcessingImage AnalysisImage ProcessingImage SegmentationMedical Image AnalysisRemote Sensing Image AnalysisImage ThresholdingMedian FilteringOptimal Threshold SelectionSpatial Information ModelingThreshold SelectionThreshold-based SegmentationThresholding
Several model-based algorithms for threshold selection are presented, concentrating on the two-population univariate case in which an image contains an object and background. It is shown how the main ideas behind two important nonspatial thresholding algorithms follow from classical discriminant analysis. Novel thresholding algorithms that make use of available local/spatial information are then given. It is found that an algorithm using alternating mean thresholding and median filtering provides an acceptable method when the image is relatively highly contaminated, and seems to depend less on initial values than other procedures. The methods are also applicable to multispectral k-population images.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Pattern classification and scene analysis
Y.P. Chien · IEEE Transactions on Automatic Control · 1974 · 3.4K citations