Object boundary detection in an image

摘要

Object boundary detection techniques are described. In implementations, edges of an object displayed in an image are detected. The image is used to generate a gradient image and a monochrome image. Directional filters are applied to the monochrome image to generate directionally filtered images, which are then applied the gradient image to identify potential boundary lines of the object displayed in the image. A selection can then be made from the potential boundary lines, based on a score associated with each respective potential boundary line, to select lines to represent the boundaries of the object. The selected lines can be used to segment the image into a plurality of segments, and then, using the average color of each segment, one or more of the selected lines can be invalidated as being a false boundary.

主权项

1. A computer-implemented method for detecting edges of an object displayed in an image, the method comprising:
generating a gradient image and a monochrome image from the image, the gradient image generated with an edge detection filter applied to the image, and the monochrome image generated using the gradient image; applying directional filters to the monochrome image to generate directionally filtered images; applying the directionally filtered images to the gradient image to identify potential boundary lines of the object displayed in the image; and selecting a subset of the potential boundary lines based on a likelihood that each line in the subset of potential boundary lines is an edge of the object displayed in the image.