Its formal basis provides stability in development over more ad-hoc approaches, and has also been easy to transfer among programming languages. We have developed novel means of recognizing features in images, specifically in linking perceptual factors to parameters in wavelet-based analysis of images. We will further develop the existing algorithms focusing on the properties evidenced by text placed within images. We anticipate that secure transmission of electronic medical information over the Internet will be a major area of application. We are experimenting with a number of tools, mostly based on parameterized wavelets, that can recognize crucial information, such as text in images, and submit it to the content checking rules our base TIHI system provides.
Initial results are very promising.
Recognition of text fragments and matching them to privacy protection rules. The removal of textual markings that are not recognized as being releasable from medical images. The image processing technolgy is based on feature extraction using wavelet-based decomposition, shape moments, and the linking of semantically relevant perception parameters with the Features. Applicability An increasing amount of information being transmitted over the Internet is in image form. Filtering of images in addition to text becomes more essential as modern computing and communications facilitates the use of information in image form.