Abstract
A hybrid optical and digital image recognition method (based on optical Fourier diffractometry) applied to the detection of disease-induced pathological changes in bones is presented. X-ray bone images are analyzed in a new type of computer-controlled diffractometer. The set of image parameters, extracted from the diffractogram, is evaluated by statistical analysis. The synthetic statistical image descriptors, constructed based on the groups of training images, enable recognition of bone samples with degraded bone structure and then recognition of disease. About 89% of images were classified correctly. After optimization, this method can be applied to a computer-aided medical diagnosis process.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
