Alpha Matting#
Detailed Description#
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 [9].
This module was developed by Muskaan Kularia and Sunita Nayak as a project for Google Summer of Code 2019 (GSoC 19).
Function Documentation#
infoFlow()#
void cv::alphamat::infoFlow(
InputArray image,
InputArray tmap,
OutputArray result )
#include <opencv2/alphamat.hpp>
Python:
cv.alphamat.infoFlow(image, tmap[, result]) -> result
Compute alpha matte of an object in an 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.
Parameters
image— Input RGB imagetmap— Input greyscale trimap imageresult— Output alpha matte image