FEATURE DETECTION AND MASKING IN IMAGES BASED ON COLOR DISTRIBUTIONS

摘要

Implementations relate to image feature detection and masking in images based on color distributions. In some implementations, a computer-implemented method to determine a mask for an image includes determining a spatial function for a detected feature depicted in the image, the function indicating pixels of the image relative to an estimated feature boundary. A respective color likelihood distribution is determined for each of multiple regions of the image based on one or more distributions of color values in the regions, including a feature region and a non-feature region. A confidence mask is determined based on the spatial function and one or more of the color likelihood distributions. The confidence mask indicates, for each of multiple pixels of the image, an associated confidence that the pixel is a feature pixel. A modification is applied to pixels in the image using the confidence mask.