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OpenCV
4.10.0
Open Source Computer Vision
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Information Flow algorithm implementaton for alphamatting
Alpha matting is used to extract a foreground object with soft boundaries from a background image.
This module is dedicated to computing alpha matte of objects in images from a given input image and a greyscale trimap image that contains information about the foreground, background and unknown pixels. The unknown pixels are assumed to be a combination of foreground and background pixels. The algorithm uses a combination of multiple carefully defined pixels affinities to estimate the opacity of the foreground pixels in the unkown region.
The implementation is based on [7].
This module was developed by Muskaan Kularia and Sunita Nayak as a project for Google Summer of Code 2019 (GSoC 19).
Functions | |
void | cv::alphamat::infoFlow (InputArray image, InputArray tmap, OutputArray result) |
Compute alpha matte of an object in an image. | |
void cv::alphamat::infoFlow | ( | InputArray | image, |
InputArray | tmap, | ||
OutputArray | result | ||
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#include <opencv2/alphamat.hpp>
Compute alpha matte of an object in an image.
image | Input RGB image |
tmap | Input greyscale trimap image |
result | Output alpha matte image |
The function infoFlow performs alpha matting on a RGB image using a greyscale trimap image, and outputs a greyscale alpha matte image. The output alpha matte can be used to softly extract the foreground object from a background image. Examples can be found in the samples directory.