Image Augmentation for Segmentation

Image segmentation, like image classification, is the cornerstone in the computer vision domain. Image segmentation involves grouping parts of an image that belong to the same object, also known as pixel-level classification. Unlike image classification, which identifies and predicts the subject or label of a photo, image segmentation determines whether a pixel belongs to a list of objects – for example, an urban photograph has streets, street signs, cars, trucks, bicycles, buildings, trees, and pedestrians. Image segmentation’s job is to decide whether this image pixel belongs to a car, tree, or other objects.

Deep learning (DL), an artificial neural network (ANN) algorithm, has made a tremendous breakthrough in image segmentation. For example, image segmentation in DL makes it possible for autonomous vehicles and Advanced Driver Assistance Systems (ADASes) to detect navigable surfaces or pedestrians. Many medical applications use...