Processing Of Medical Images Using Gabor Filters
In this study, texture susceptible to osteolysis is analyzed by using Traditional and Circular Gabor Filters and level of the disease is determined by comparing with Signh Index table. Aim of this study is to achieve the osteolysis diagnosis, which the specialist decided according to the x-ray image, by using Gabor filters that are set according to the intervals assigned on the computer. A research is carried out on the most susceptible zone –Ward’s triangle – to osteolysis in the digital x-ray image of femur, energy calculation will be performed via feature extraction method and automatic evaluation willl be provided by normalizing the outcome energy. MATLAB is used for image processing and feature extraction stages of the study.
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