Threshold selection based on a simple image statistic

Abstract The problem of automatic threshold selection is considered. After a brief review of available techniques, a novel method is proposed. It is based on image statistics which can be computed without histogramming the grey level values of the image. A detailed analysis of the properties of the algorithm is then carried out. The effectiveness of the method is shown on a number of practical examples.

[1]  Y Ichioka,et al.  Adaptive binarization using a hybrid image processing system. , 1978, Applied optics.

[2]  Allen R. Hanson,et al.  Processing Cones: A Computational Structure for Image Analysis. , 1981 .

[3]  Azriel Rosenfeld,et al.  Peak Detection Using Difference Operators , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Josef Kittler,et al.  AUTOMATIC THRESHOLDING ALGORITHM AND ITS PERFORMANCE. , 1984 .

[5]  Azriel Rosenfeld,et al.  Histogram concavity analysis as an aid in threshold selection , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  G. M. X. Fernando.  Variable Thresholding Applied To Angiography , 1982, Other Conferences.

[7]  Azriel Rosenfeld,et al.  Thresholding Using Relaxation , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  David L. Milgram,et al.  Region extraction using convergent evidence , 1979 .

[9]  Charles M. Williams,et al.  An Efficient Algorithm for the Piecewise Linear Approximation of Planar Curves , 1978 .

[10]  Josef Kittler,et al.  The magnitude accuracy of the template edge detector , 1983, Pattern Recognit..

[11]  Nobuyuki Otsu,et al.  ATlreshold Selection Method fromGray-Level Histograms , 1979 .

[12]  Azriel Rosenfeld,et al.  Histogram modification for threshold selection , 1977 .

[13]  Heinrich Niemann,et al.  Smoothing, Thresholding And Contour Extraction In Images From Gated Blood Pool Studies , 1982, Other Conferences.

[14]  Olivier D. Faugeras,et al.  Segmentation of Images Having Unimodal Distributions , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Sankar K. Pal,et al.  Automatic grey level thresholding through index of fuzziness and entropy , 1983, Pattern Recognit. Lett..

[16]  J. M. White,et al.  Image Thresholding for Optical Character Recognition and Other Applications Requiring Character Image Extraction , 1983, IBM J. Res. Dev..

[17]  Azriel Rosenfeld,et al.  Some experiments on variable thresholding , 1979, Pattern Recognit..

[18]  Sankar K. Pal,et al.  Grey level thresholding using second-order statistics , 1983, Pattern Recognit. Lett..

[19]  Thierry Pun,et al.  A new method for grey-level picture thresholding using the entropy of the histogram , 1980 .

[20]  T. W. Ridler,et al.  Picture thresholding using an iterative selection method. , 1978 .

[21]  Azriel Rosenfeld,et al.  Threshold Selection Using Quadtrees , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  Ewert Bengtsson,et al.  Object Oriented Cell Image Segmentation , 1982, Other Conferences.

[23]  S. L. Horowitz,et al.  Peak Recognition in Waveforms , 1977 .

[24]  Ivan Tomek,et al.  Two Algorithms for Piecewise-Linear Continuous Approximation of Functions of One Variable , 1974, IEEE Transactions on Computers.

[25]  Thierry Pun,et al.  Entropic thresholding, a new approach , 1981 .

[26]  R. Kohler.  A segmentation system based on thresholding , 1981 .

[27]  Josef Kittler,et al.  AUTOMATIC THRESHOLDING METHOD FOR WAVEFORM SEGMENTATION. , 1984 .