Histogram Thresholding in Image Segmentation: A Joint Level Set Method and Lattice Boltzmann Method Based Approach

被引：5

作者：

Kumar, Ram ^{[1
]}

Talukdar, F. A. ^{[1
]}

Dey, Nilanjan ^{[2
]}

Ashour, Amira S. ^{[3
]}

Santhi, V. ^{[4
]}

Balas, Valentina Emilia ^{[5
]}

Shi, Fuqian ^{[6
]}

机构：

[1] Natl Inst Technol, Dept ECE, Silchar 788010, India

[2] Techno India Coll Technol, Dept IT, Kolkata, W Bengal, India

[3] Tanta Univ, Fac Engn, Dept Elect & Elect Commun Engn, Tanta, Egypt

[4] VIT Univ, Sch Comp Sci & Engn, Vellore, Tamil Nadu, India

[5] Aurel Vlaicu Univ Arad, Fac Engn, Arad, Romania

[6] Wenzhou Med Univ, Coll Informat & Engn, Wenzhou 325035, Peoples R China

来源：

INFORMATION TECHNOLOGY AND INTELLIGENT TRANSPORTATION SYSTEMS, VOL 2 | 2017年 / 455卷

关键词：

Histogram; Image segmentation; Lattice Boltzmann method (LBM); Level set method (LSM); ACTIVE CONTOURS;

D O I：

10.1007/978-3-319-38771-0_52

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The level set method (LSM) has been widely utilized in image segmentation due to its intrinsic nature which sanctions to handle intricate shapes and topological changes facilely. The current work proposed an incipient level set algorithm, which uses histogram analysis in order to efficiently segmenting images. The computational intricacy of the proposed LSM is greatly reduced by utilizing the highly parallelizable lattice Boltzmann method (LBM). The incipient algorithm is efficacious and highly parallelizable. Recently, with the development of high dimensional astronomically an immense-scale images contrivance, the desideratum of expeditious and precise segmentation methods is incrementing. The present work suggested a histogram analysis based level set approach for image segmentation. Experimental results on real images demonstrated the performance of the proposed method. It is established that the proposed segmentation methods using Level set methods for image segmentation achieved 0.92 average similarity value and average 1.35 s to run the algorithm, which outperformed Li method for segmentation.

引用

页码：529 / 539

页数：11

共 35 条

[1]

[Anonymous], 2002, Level Set Methods and Dynamic Implicit Surfaces

[2]

Balla-Arabe Souleymane, 2013, Intelligent Science and Intelligent Data Engineering. Third Sino-foreign-interchange Workshop, IScIDE 2012. Revised Selected Papers, P8, DOI 10.1007/978-3-642-36669-7_2

[3]

Balla-Arabe S., 2011, Proceedings of the 2011 Seventh International Conference on Computational Intelligence and Security (CIS 2011), P1159, DOI 10.1109/CIS.2011.257

[4]

Balla-Arabe S, 2012, IEEE T SYST MAN CY B, V99, P1

[5]

Balla-Arabe S., 2013, IEEE T IMAGE PROCESS, V10, P1

[6] Geometric active curve for selective entropy optimization [J].