We use thermography and pattern classification techniques to classify three different pathologies in veterinary images. The Long Island Veterinary Specialists (LIVS) have provided thermographic images of both normal and diseased animals. The temperature data is linearly remapped to 256 gray levels using the temperature range of 19 to 40 degrees C.The three pathologies are ACL rupture disease, bone cancer, and feline hyperthyroid. The diagnosis of these diseases usually involves radiology and laboratory tests while the method that we propose uses thermographic images and image analysis techniques and is intended for use as a prescreening tool. First, Gabor filters are used to filter the images in each category of pathologies and then various features are extracted and used for classification into normal and abnormal classes. Gabor filters are linear filters that can be characterized by the two parameters, wavelength λ and orientation &thetas;. With two different wavelength and five different orientations, a total of ten different filters were studied. Different combinations of camera views, filters, feature vectors, normalization methods, and classification methods, produce different tests that were examined and the sensitivity, specificity and success rate for each test were produced. Using the Gabor features alone, sensitivity, specificity, and overall success rates of 85% for each of the pathologies was achieved.
|Advisor:||Umbaugh, Scott E.|
|Commitee:||Engel, George L., Klingensmith, Jon|
|School:||Southern Illinois University at Edwardsville|
|Department:||Electrical and Computer Engineering|
|School Location:||United States -- Illinois|
|Source:||MAI 57/01M(E), Masters Abstracts International|
|Keywords:||Gabor filters, Image processing, Medical imaging, Pattern recognition, Thermal images, Thermographic imaging|
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