Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images

A. Ahilan; Gunasekaran Manogaran; C. Raja; Seifedine Kadry; S. N. Kumar; C. Agees Kumar; T. Jarin; Sujatha Krishnamoorthy; Priyan Malarvizhi Kumar; Gokulnath Chandra Babu; N. Senthil Murugan; Parthasarathy

doi:10.1109/ACCESS.2019.2891632

IEEE Access (Jan 2019)

Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images

A. Ahilan,
Gunasekaran Manogaran,
C. Raja,
Seifedine Kadry,
S. N. Kumar,
C. Agees Kumar,
T. Jarin,
Sujatha Krishnamoorthy,
Priyan Malarvizhi Kumar,
Gokulnath Chandra Babu,
N. Senthil Murugan,
Parthasarathy

Affiliations

A. Ahilan: ORCiD; Department of Electronics and Communications Engineering, Infant Jesus College of Engineering, Tuticorin, India
Gunasekaran Manogaran: Vellore Institute of Technology University, Vellore, India
C. Raja: ORCiD; Department of Electronics and Communications Engineering, KL University, Vijayavada, India
Seifedine Kadry: ORCiD; Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Beirut, Lebanon
S. N. Kumar: School of Electronics and Communications Engineering, Mar Ephraem College of Engineering and Technology, Elavuvilai, India
C. Agees Kumar: Department of Electronics and Electrical Engineering, Arunachala College of Engineering for Women, Nagercoil, India
T. Jarin: Department of Electronics and Electrical Engineering, Jyothi Engineering College, Thrissur, India
Sujatha Krishnamoorthy: Department of Computer Science and Engineering, Wenzhou-Kean University, Zhejiang Sheng, China
Priyan Malarvizhi Kumar: Vellore Institute of Technology University, Vellore, India
Gokulnath Chandra Babu: Vellore Institute of Technology University, Vellore, India
N. Senthil Murugan: Vellore Institute of Technology University, Vellore, India
Parthasarathy: Vellore Institute of Technology University, Vellore, India

DOI: https://doi.org/10.1109/ACCESS.2019.2891632
Journal volume & issue: Vol. 7
pp. 89570 – 89580

Abstract

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The image segmentation refers to the extraction of region of interest and it plays a vital role in medical image processing. This work proposes multilevel thresholding based on optimization technique for the extraction of region of interest and compression of DICOM images by an improved prediction lossless algorithm for telemedicine applications. The role of compression algorithm is inevitable in data storage and transfer. Compared to the conventional thresholding, multilevel thresholding technique plays an efficient role in image analysis. In this paper, the Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO), and Fractional Order Darwinian Particle Swarm Optimization (FODPSO) are employed in the estimation of the threshold value. The simulation results reveal that the FODPSO-based multilevel level thresholding generate superior results. The fractional coefficient in FODPSO algorithm makes it effective optimization with fast convergence rate. The classification and blending prediction-based lossless compression algorithm generates efficient results when compared with the JPEG lossy and JPEG lossless approaches. The algorithms are tested for various threshold values and higher value of PSNR indicates the proficiency of the proposed segmentation approach. The performance of the compression algorithms was validated by metrics and was found to be appropriate for data transfer in telemedicine. The algorithms are developed in Matlab2010a and tested on DICOM CT images.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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