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Technology of Graphic & Image
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1549-1552

Improvement of GrabCut image segmentation algorithm based on non-normalized histogram

Kong Xian
Ma Xiaoke
School of Computer & Information Engineering, Henan University, Kaifeng Henan 475000, China

Abstract

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.

Foundation Support

国家科技支撑计划资助项目(2015BAK01B06)
河南省科技发展计划资助项目(142102310247)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0849
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Graphic & Image
Pages: 1549-1552
Serial Number: 1001-3695(2020)05-055-1549-04

Publish History

[2020-05-05] Printed Article

Cite This Article

孔显, 马晓珂. 基于非归一化直方图的GrabCut图像分割算法改进 [J]. 计算机应用研究, 2020, 37 (5): 1549-1552. (Kong Xian, Ma Xiaoke. Improvement of GrabCut image segmentation algorithm based on non-normalized histogram [J]. Application Research of Computers, 2020, 37 (5): 1549-1552. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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