Abstract
The problem of automatic threshold selection is considered. After a brief discussion of several available techniques, an adaptive thresholding technique is proposed. It is based on the local edge information which can be computed without histogramming the gray level value of the image. This method is specifically designed to deal with gradual shading situation. The effectiveness of the method is shown on a practical example.
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References
Weszka J S, Wagel R N, Rosenfeld A. A threshold selection technique.IEEE Trans Computer, 1974, C-23:1322–1326
Weszka J S, Rosenfeld A. Histogram modification for threshold selection.IEEE Trans Syst Man Cybern, 1979, SMC-9:38–52
Ahuia N, Rosenfel A. A note on the use of second order gray level statistics for threshold selection.IEEE Tran Syst Man Cybern, 1978, SMC-8:895–898
Kirby R L, Rosenfeld A. A note on the use of (gray level, local average gray level) space as an aid in threshold selection.IEEE Tran Syst Man Cybern, 1979, SMC-9: 860–864
Kapur J N, Sahoo P K, Wong A K C. A new method for gray level picture thresholding using the entropy of histogram.IEEE Trans, 1985, CVGIP-29:273–285
Pun T. Entropic thresholding: a new approach.Computer Graphics Image Process, 1981,16:210–239
Ridler T, Calvard S. Picture thresholding using an iterative selection method.IEEE Trans Syst Man Cybern, 1978, SMC-8(8):630–632
Wu A, Hong T H, Rosenfeld A. Threshold selection using quadtree.IEEE Trans Pattern Anal Mach Intell, 1982, PAMI-4(1):90–94
Rosenfeld A, De La Torre P. Histogram concavity analysis as an aid in threshold selection.IEEE Trans Syst Man Cybern, 1983, SMC-13(3):231–235
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Supported by National Defence Scientific Work Committee Foundation of China
Sun Xiaoan: born in May, 1968, Ph. D
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Xiaoan, S., Shuzhen, C. Adaptive segmentation based on local image attribute. Wuhan Univ. J. Nat. Sci. 2, 185–189 (1997). https://doi.org/10.1007/BF02827828
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DOI: https://doi.org/10.1007/BF02827828