DOAJ Open Access 2017

GrabCut Image Segmentation Algorithm Based on Structure Tensor

ZHANG Yong,YUAN Jiazheng,LIU Hongzhe,LI Qing

Lihat Sumber DOI

Abstrak

Traditional GrabCut based image segmentation method is mainly based on the image pixel values to build a graph model,and does not take into account the rich texture of color image information.This paper presents an image segmentation algorithm based on GrabCut model,and contrasts results of Structure Tensor(ST) GrabCut segmentation method and traditional GrabCut segmentation method.The method uses the ST and the pixel values to construct the tight ST.For concise and efficient calculation,this paper extends Gaussian Mixture Model(GMM) built based on Grabcut method to tensor space,and uses Kullback-Leible(KL) divergence instead of the commonly used the Riemannian metric.Through a lot of experiments on synthetic texture images and natural images,results show that,compared with carstem Rother,GACWRF method the algorithm has more accurate segmentation effects,not only achieves the texture and color information parameter fusion,but also improves the computational efficiency.

Topik & Kata Kunci

Computer engineering. Computer hardware Computer software

Penulis (1)

ZHANG Yong,YUAN Jiazheng,LIU Hongzhe,LI Qing

Format Sitasi

APA MLA BibTeX

Qing, Z.Y.J.H. (2017). GrabCut Image Segmentation Algorithm Based on Structure Tensor. https://doi.org/10.3969/j.issn.1000-3428.2017.08.044

Akses Cepat

Lihat di Sumber doi.org/10.3969/j.issn.1000-3428.2017.08.044

Informasi Jurnal

Tahun Terbit: 2017
Sumber Database: DOAJ
DOI: 10.3969/j.issn.1000-3428.2017.08.044
Akses: Open Access ✓