Title :
Nonparametric optimal binarization
Author :
Kampke, Thomas ; Kober, Rudolf
Author_Institution :
Forschungsinst. fur Anwendungsorientierte Wissensverarbeitung, Ulm, Germany
Abstract :
Binarization is reduced to function approximation in terms of quantization which is overlaid either with a recursion scheme or with discrete scale-space filtering. Approximations are solved to optimality not requiring any parametric input except that there be two segment classes of the image
Keywords :
filtering theory; function approximation; image segmentation; optimisation; quantisation (signal); recursive filters; discrete scale-space filtering; function approximation; nonparametric optimal binarization; recursion scheme; Costs; Dynamic programming; Electrical capacitance tomography; Function approximation; Image segmentation; Iterative algorithms; Microwave integrated circuits; Quantization;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711071
