Image segmentation by wavelet-based automatic threshold selection

Jean-Christophe Olivo

doi:10.1117/12.157872

22 October 1993 Image segmentation by wavelet-based automatic threshold selection

Jean-Christophe Olivo

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157872
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

A segmentation method using a peak analysis algorithm for threshold selection is presented. It is based on the detection of the zero-crossings and the local extrema of a wavelet transform which give a complete characterization of the peaks in the histogram. These values are used for the unsupervised selection of a sequence of thresholds describing a coarse-to-fine analysis of histogram variation. The results of using the proposed technique are presented in the case of different images.

Citation Download Citation

Jean-Christophe Olivo "Image segmentation by wavelet-based automatic threshold selection", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157872

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