Fig. 1 Vision-based hand gesture recognition system architecture In the following sections we will describe the problems of hand posture classification and dynamic gesture classification. 2.1 Hand Posture Classification For…
Fig. 1 Left: The marked points on the hip joint border and the approximated plane are shown. Right: Resulting position of the artificial hip joint in correspondence to the mirrored,…
Slice Thickness 0.6 mm Spacing Between Slices 0.6 mm Pixel Spacing mm Repetition Time 8000 Echo Time 282.89 All dataset volumes are altered by the presence of glial tumors, which are heterogeneous…
Fig. 1 An example of an original RGB fundus image of the healthy eye and individual colour channels of the image. In standard fundus image, the red (R) channel appears…
Fig. 1 Slices (left) and volume renderings (right) of one of the imaged specimens. Top: images acquired through micro-CT. Bottom: images acquired through CBCT 2.3 Methods The tensors were computed…
Fig. 1 The original published lookup table Algorithm 1 presents the MC algorithm written in pseudocode. Each image (CT scan’s slice) has associated metadata arranged by tags provided by the…
Fig. 1 Gestures suggested by the group of people after a questionnaire, using techniques of usability engineering [11, 16] To build an AdaBoost classifier it is necessary to choose two…
Fig. 1 Two CT images belonging to the same patient dataset. The intensity values of the cortical zone are different in the diaphysis (left) and the epiphysis (right). The cortical…
Fig. 1 CT attenuation principle scheme The CT basic physical principle of X-ray attenuation is based on Lambert- Beer’s law of absorption, which is related to the attenuation coefficient. Therefore,…
Articles Figures Images Blobs Healthy 132 217 1200 5303 Alzheimer 29 44 184 573 Schizophrenia 18 23 103 307 183 284 1487 6183 2.2 fMRI Activity Consider typical images…
