Target Segmentation and Extraction from Geographic Images Based on Multiscale Analysis

In this paper, a new wavelet-packet multiscale image segmentation method is presented first. By combining this new method with a multiscale region-based segmentation method, we develop a new generic systematic scheme to segment targets in images based on multiscale analysis in both grayscale and space. Based on the new scheme, a system framework is constructed to intelligently segment targets and extract useful information from geographic image databases. The examples are presented to illustrate the effectiveness of the technique on a variety of targets. The new scheme and system can also be used in analysis of medical image databases. Key-Words: Target extraction, Image segmentation, Multiscale analysis, Bayes classifier, Wavelet packet transform, Geographic information systems , Remote sensing.