Abstract: An image segmentation apparatus comprises a processor which receives user input specifying a boundary of a region of interest of an image. The processor determines speed of the user input. A segmentation component maps the speed of the user input to a width of an area associated with the boundary of the region of interest. The segmentation component is configured to extract training data from the image on the basis of the area, and to train a segmentation model using the extracted training data. The segmentation component is configured to process image elements of the area using the trained segmentation model in order to compute an indication whether the image elements are to be assigned to the region of interest or not.

Abstract: An image segmentation apparatus is described which comprises a processor which receives user input specifying a boundary of a region of interest of an image. The processor determines speed of the user input. A segmentation component maps the speed of the user input to a width of an area associated with the boundary of the region of interest. The segmentation component is configured to extract training data from the image on the basis of the area, and to train a segmentation model using the extracted training data. The segmentation component is configured to process image elements of the area using the trained segmentation model in order to compute an indication whether the image elements are to be assigned to the region of interest or not.