Synthetic Images
This group offers different ways to create a new image.
- DentalWallSegmentation3d: Transforms a grayscale CBCT image into a binary image where all pixels identified as belonging to the dental wall are set to 1 and all others are set to 0.
- DentalMeshExtraction3d: Computes a quadrilateral mesh fitting on the dental wall defined in a three-dimensional binary image.
- RandomImage2d: Creates a new two-dimensional image with random values having an equidistribution.
- RandomImage3d: Creates a new three-dimensional image with random values having an equidistribution.
- RandomGaussianImage2d: Creates a new two-dimensional image with random values that have a Gaussian distribution.
- RandomGaussianImage3d: Creates a new three-dimensional image with random values that have a Gaussian distribution.
- RadialFunctionImage2d: Creates a new two-dimensional image by a circular projection of an array of values.
- RadialFunctionImage3d: Creates a new three-dimensional image by a spherical projection of an array of values.
- OrientedLinesImage2d: Creates a two-dimensional binary image containing a series of parallel oriented lines.
- OrientedLinesImage3d: Creates a three-dimensional binary image containing a series of parallel oriented lines.
- RandomSphereImage3d: Creates synthetic spheres in a binary image.
- BoxGridImage2d: Creates a new two-dimensional image containing a binary or labeled grid.
- BoxGridImage3d: Creates a new three-dimensional image containing a binary or labeled grid.
The image created with these algorithms can have user-defined dimensions, type, and specfic content inside, like
shape or random noise.