Wavelet transforms and wavelet packets in bio-medical engineering

Wavelets based analysis has become very popular in a wide area of applications. It has found application in areas ranging from image and video compression to texture analysis and image recognition. Using wavelet analysis, multi-resolution analysis is performed which means that an image is decomposed in to multiple time frequency or scale space resolutions. This leads to decomposition of an image in to various representations allowing for effective analysis of the data. In this tutorial, we would should how wavelets-based analysis may be used to acquire interesting features for analysis and segmentation of medical images for computer assisted diagnosis. Medical image analysis for computer assisted diagnosis falls under the domain of biomedical engineering and has become a very important area of research as it can help in reduction of errors made in diagnosis by physicians and doctors. The aims of the tutorial are as under: Develop detailed understanding of wavelet analysis using wavelet transform and wavelet packets; Understand how multi-resolution analysis may be performed using wavelets; Apply the technique to a wide variety of problems from the domain of medicine for computer assisted diagnosis.