(BQ) Part 1 The biomedical engineering handbook - Medical devices and systems has contents: Advanced thermal image processing, functional infrared imaging in clinical applications, thermal imaging in surgery, infrared imaging applied to dentistry, infrared detectors and detector arrays,.and other contents. | 28 Advanced Thermal Image Processing B. Wiecek M. Strzelecki T. Jakubowska M. Wysocki C. Drews-Peszynski Technical University of Lodz Histogram-Based First Order Thermal Signatures . . . . Second Order Statistical Parameters . . . . . . . . . . . . . . . . . . . . Wavelet Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28-3 28-5 28-8 28-9 28-12 28-12 Thermal imaging can be useful as an early diagnostic technique that can detect many diseases, such as for example, breast cancer, malignant tumors, etc. There are many different methods that describe image features. A large group of methods is based on statistical parameters calculations. Parameters like mean value, standard deviation, skewness, kurtosis, etc. can be used to compare thermal images. We consider both the first and second order statistical parameters [1,2]. The first order statistical parameters methods use image’s histogram (Figure ) to compute signatures, while the second order statistical parameters are defined for so-called co-occurrence matrix of the image [2,11]. In medical applications, one of the principal features of the thermal image is its symmetry of temperature patterns. Thermal images are usually asymmetrical in pathological cases. Any significant asymmetry can indicate a physiologic abnormality (Figure ). This may be pathological (including cancer, fibrocystic disease, an infection, or a vascular disease) or it might indicate an anatomical variant [4–6]. The next group of methods is based on image transformations, such as linear filtering, Fourier or wavelet analysis. All these methods allow to regenerate
