Invariant feature extraction for neurocomputer analysis of biomedical images

The authors report on the application of neurocomputing techniques to a specific thermography program: the analysis of image patterns which characterize the extent of whiplash injury. A specific sequence of preprocessing steps designed to optimize neurocomputer classification of biomedical image patterns with symmetry is described. Data acquisition methods, preprocessing steps, and experimental results are discussed. The results presented are derived from incorporating neurocomputing analysis as part of an overall image characterization process. It is demonstrated that the features do represent certain characteristics of the pathology present in the images.<<ETX>>