Efficient compression of volumetric medical images using Legendre moments and differential evolution

Faculty Computer Science Year: 2020
Type of Publication: ZU Hosted Pages: 409-427
Authors:
Journal: Soft Computing Springer Volume: 24
Keywords : Efficient compression , volumetric medical images using    
Abstract:
Volumetric medical images are widely used in diagnosing and detecting health problems of patients. Large datasets of volumetric medical images required huge storage space and high network capabilities to transmit these medical images from o
   
     
 
       

Author Related Publications

  • Ehab Roshdy Mohamed, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020 More
  • Ehab Roshdy Mohamed, "Building a New Semantic Social Network Using Semantic Web-Based Techniques", ِASPG, 2021 More
  • Ehab Roshdy Mohamed, "New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework", IEEE, 2022 More
  • Ehab Roshdy Mohamed, "Solving systems of nonlinear equations via conjugate direction flower pollination algorithm", inderscience, 2017 More
  • Ehab Roshdy Mohamed, "Cryptographic Accumulator-Based Scheme for Critical Data Integrity Verification in Cloud Storage", IEEE, 2019 More

Department Related Publications

  • Walid Ibrahim Ibrahim Khedr, "On the Security of Anonymous Authentication Protocol for Mobile Pay-TV", Scientific Research Publishing USA, 2015 More
  • Khalied Mohamed Hosny, "Highly accurate and numerically stable higher order QPCET moments for color image representation", Elsevier, 2017 More
  • Khalied Mohamed Hosny, "Robust color image watermarking using invariant quaternion Legendre-Fourier moments", Springer, 2018 More
  • Nabil Ali Mohamed Lashen, "Copy-for-duplication forgery detection in colour images using QPCETMs and subimage approach", IET Image processing, 2019 More
  • Nabil Ali Mohamed Lashen, "A hybrid Technique for Data Compression", International Journal of Digital Content Technology and its Applications (JDCTA), 2015 More
Tweet