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.

• Type: Conference
• Year: 1997
• Where: ICIP
• Authors: Xiao-Ping Zhang, Mita D. Desai
• Keywords: ICIP 1997, Image Processing, Possible Target Areas, Segment Possible Target, Segment Targets