Evaluation of Video Stabilisation Algorithms in Dynamic Capillaroscopy

Abstract: In the field of dynamic capillaroscopy, measurements of the capillary blood cell velocity (CBV) give significant insight into the human body. For instance, diabetes, hypertension and peripheral arterial occlusive disease all affect CBV. However, the videos used to measure CBV – captured with a microscope – are often displaced in relation to the microscope by small motions of the finger or toe. Stabilisation algorithms are commonly used to reduce this problem, in order to carry out measurements such as CBV using the stabilised video. Artificial capillaroscopy videos were used to compare the stabilisation algorithms Mutual information, Single-step DFT, Block matching and Phase correlation in terms of computational time; RMSE, PSNR and MSE; and resistance to blurring effects. Single-step DFT was indicated to be the best suited algorithm in all aforementioned metrics.