Abstract | ||
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Binarization is reduced to function approximation in terms of quantization which is overlayed either with a recursion scheme or with discrete scale-space filtering Approximations are solved to optimality not requiring any parametric input except the number 'two' of desired segment classes of the image. (1). |
Year | DOI | Venue |
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1998 | 10.1109/ICPR.1998.711071 | ICPR |
Keywords | DocType | ISSN |
nonparametric optimal binarization,image segmentation,quantization,scale space,function approximation,dynamic programming | Conference | 1051-4651 |
ISBN | Citations | PageRank |
0-8186-8512-3 | 5 | 0.89 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas Kämpke | 1 | 86 | 20.62 |
Rudolf Kober | 2 | 8 | 2.36 |