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Bioimage registration is essential in many applications that need to compare multiple image subjects of different conditions.
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My computer has a webcam, my phones have multiple image sensors, my drone has multiple image sensors, my vacuum has an image sensor, my car has image sensors.
The multiple image modalities were registered to the T1 with boundary-based registration (BBR) and the segmentation of WMH from healthy WM was accomplished with a multispectral Gaussian classifier for each subject based on the atlas values.
Similarly, multiple images of the same subjects under varying viewpoints are also available in video camera networks.
Due to the capability of capturing multiple images of the same subject, and the effectiveness of our automated sharpness measure test, the system manages to select good images for creating an HR image.
Although not discussed in the patent application, over and above the moving image feature, having that many cameras can also allow for interesting noise-reduction capabilities when multiple images of the same subject can be compared to find imperfections in the shot.
Tags can be applied to single or multiple images at a time, and can be as broad as subjects like Wildlife to particular topics such as Siberian Tiger or Crested Tern.
Multiple images are necessary to reconstruct the tensor data and each acquisition is subject to complex thermal noise.
Indeed, multiple sensors produce multiple images.
With multiple images, I can go deeper, be subversive.
Then there are multiple images of Tara, the female Buddha.
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