MRI-Based Medical Image Enhancement Technique Using Particle Swarm Optimization

  • S. Sakthivel
  • V. Prabhu
  • R. Punidha
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 626)


The recent work tends to a complexity improvement strategy, which joins the established difference upgrade approach. The primary targets of this paper are to expand the data substance and upgrade the subtleties of a picture utilizing the examination procedure of parameters bolstered by Particle Swarm Optimization (PSO) calculation. Here, PSO from swarm intellect (SI) has applied to appraise the consideration values. In the proposed technique, the edge closeness of data parameters, for example, mean, standard deviation, and difference have utilized to detail the improvement strategy. These strategies defeat the past Level-3 disintegration to extricate highlights from pictures of PSO methods. A reproduction result is a proposed particle swarm optimization based contrast enhance strategy that improves the general picture differentiate and enhances the data content in the picture. Additionally, constraints of Peak Signal-to-Noise Ratio (PS-to-NR) and Mean Squared Error (MSE) have investigated the Particle Swarm Optimization (PSO) image in Fig. 1. We contrast and other difference upgrade procedures, the proposed technique gives hidden information of a picture and it is progressively reasonable for applications in early tumor location.
Fig. 1

PSO image that represents the particle orientation


MRI images PSO technique Edge similarity index Parameters 



One of the authors would like to notify that there is no conflict on brain MRI image dataset in this paper and authors to thank the reviewer for their valuable suggestions.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • S. Sakthivel
    • 1
    • 2
  • V. Prabhu
    • 3
  • R. Punidha
    • 4
  1. 1.Anna UniversityChennaiIndia
  2. 2.Department of CSEVel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, AvadiChennaiIndia
  3. 3.Department of ECEVel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, AvadiChennaiIndia
  4. 4.Department of CSEBharathiyar Institute of Engineering for WomanSalemIndia

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