Aiming at the time efficiency issue and segmentation effect problem of GrabCut image segmentation algorithm, this paper proposed an improved GrabCut algorithm which based on non-normalized histogram. It preserved the results of the first segmentation of GrabCut, and replaced subsequent iterations learning process of Gaussian mixture model by the non-normalized histogram calculation of pixels belonging to foreground or background. It introduced a new type of node Bin in the composition step to compose the image to improve the segmentation precision. Experiment results on MSRA1000 data set indicate that the algorithm has a significant improvement in both segmentation effect and efficiency. The advantage of the improved algorithm is more obvious when the complex background image is being segmented.

[2020-05-05] Printed Article /doc/2018.10.0849/v2