Abstract: Digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. Uncertainty is resolved according to expected characteristics. The label of any image element with an uncertainty above a threshold is replaced with a new label corresponding to a segmentation class based on domain knowledge.

Abstract: A method for digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out during training. The neural network receives image data from a second, different domain. A vector of N values that sum to 1 is calculated for each image element, wherein each value represents an image segmentation class. A label is assigned to each image element according to the class with the highest value in the vector. Multiple inferences are performed with active dropout layers for each image element, and an uncertainty value is generated for each image element. The label of any image element with an uncertainty value above a predefined threshold is replaced with a new label corresponding to the class with the next highest value.

Abstract: An image processing apparatus comprises processing circuitry configured to: acquire first image data that is representative of a subject at a first time and second image data that is representative of the subject at a second, different time; process the first image data and second image data to obtain a plurality of transformed first data sets and a plurality of transformed second data sets; transform the transformed first data sets and transformed second data sets to obtain respective first distance transforms and second distance transforms; select a combination of at least one of the first distance transforms and at least one of the second distance transforms; generate at least one morphed distance transform based on the combination; and process the at least one morphed distance transform to obtain upsampled image data that is representative of the subject at a third time.

Abstract: An image processing apparatus comprises processing circuitry configured to: acquire first image data that is representative of a subject at a first time and second image data that is representative of the subject at a second, different time; process the first image data and second image data to obtain a plurality of transformed first data sets and a plurality of transformed second data sets; transform the transformed first data sets and transformed second data sets to obtain respective first distance transforms and second distance transforms; select a combination of at least one of the first distance transforms and at least one of the second distance transforms; generate at least one morphed distance transform based on the combination; and process the at least one morphed distance transform to obtain upsampled image data that is representative of the subject at a third time.

Abstract: A tow hitch rear bumper assembly for a motor vehicle includes a rear bumper for attachment to a frame of the motor vehicle and a tow hitch extending through and integral with the rear bumper.

Abstract: A tow hitch rear bumper assembly for a motor vehicle includes a rear bumper for attachment to a frame of the motor vehicle and a tow hitch extending through and integral with the rear bumper.

Abstract: A tow hitch rear bumper assembly for a motor vehicle includes a rear bumper for attachment to a frame of the motor vehicle and a tow hitch extending through and integral with the rear bumper.

Abstract: A tow hitch rear bumper assembly for a motor vehicle includes a rear bumper for attachment to a frame of the motor vehicle and a tow hitch extending through and integral with the rear bumper.