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ICIP
1997
IEEE

Wavelet Based Automatic Thresholding for Image Segmentation

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Wavelet Based Automatic Thresholding for Image Segmentation
In this paper, a new systematic method to segment possible target areas based on wavelet transforms is presented. We develop an analytic model for the segmentation of targets, which uses a novel multiresolution analysis in concert with a Bayesian classifier to identify the possible target areas. A method is developed which adaptively chooses thresholds to segment targets from background, by using a multiscale analysis of the image probability density function (PDF). We present examples which demonstrate the efficiency of the technique on a variety of targets.
Xiao-Ping Zhang, Mita D. Desai
Added 26 Oct 2009
Updated 26 Oct 2009
Type Conference
Year 1997
Where ICIP
Authors Xiao-Ping Zhang, Mita D. Desai
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