Wavelet Evolution and Flexible Algorithm for Wavelet Segmentation, Edge Detection and Compression with Example in Medical Imaging

Wavelets have evolved over years. FGW and SGW are still used and they are applied in more and more areas of research. his chapter proposes a novel algorithm for wavelet segmentation, edge detection and compression. Proposed algorithm is flexible, because of many options which can be used. The algorithm is tested on the real-patients' X-rays. Vision systems in medicine must be carefully used, because of misdiagnosis danger. I.e. in superresolution, when an un-seen detail shows up, it could mean that illness is discovered before medical expert could see it. But, it can be a false positive. If a vision system is used instead, the system must be checked by medical experts for any possible case. The algorithm could be incorporated in computer hardware and sell as medical vision system. It has to be checked by appropriate bodies in different countries before.