An Improved Multithreshold Segmentation Algorithm Based on Graph Cuts Applicable for Irregular Image
Joint Authors
Hu, Yanzhu
Ai, Xinbo
Wang, Jiao
Zhuang, Xu
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-13
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
In order to realize the multithreshold segmentation of images, an improved segmentation algorithm based on graph cut theory using artificial bee colony is proposed.
A new weight function based on gray level and the location of pixels is constructed in this paper to calculate the probability that each pixel belongs to the same region.
On this basis, a new cost function is reconstructed that can use both square and nonsquare images.
Then the optimal threshold of the image is obtained through searching for the minimum value of the cost function using artificial bee colony algorithm.
In this paper, public dataset for segmentation and widely used images were measured separately.
Experimental results show that the algorithm proposed in this paper can achieve larger Information Entropy (IE), higher Peak Signal to Noise Ratio (PSNR), higher Structural Similarity Index (SSIM), smaller Root Mean Squared Error (RMSE), and shorter time than other image segmentation algorithms.
American Psychological Association (APA)
Hu, Yanzhu& Wang, Jiao& Ai, Xinbo& Zhuang, Xu. 2019. An Improved Multithreshold Segmentation Algorithm Based on Graph Cuts Applicable for Irregular Image. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-25.
https://search.emarefa.net/detail/BIM-1195179
Modern Language Association (MLA)
Hu, Yanzhu…[et al.]. An Improved Multithreshold Segmentation Algorithm Based on Graph Cuts Applicable for Irregular Image. Mathematical Problems in Engineering No. 2019 (2019), pp.1-25.
https://search.emarefa.net/detail/BIM-1195179
American Medical Association (AMA)
Hu, Yanzhu& Wang, Jiao& Ai, Xinbo& Zhuang, Xu. An Improved Multithreshold Segmentation Algorithm Based on Graph Cuts Applicable for Irregular Image. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-25.
https://search.emarefa.net/detail/BIM-1195179
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195179