Publicado en 3C Tecnología. Special Issue – March 2020

Autores

• Pothiraj Sivakumar
• Subbiah Parvathy Velmurugan
• Jenyfal Sampson

Resumen

Automated mechanization for curing a disease is a reliable and protuberant method. A disease in brain can be detected by Magnetic Resonance Imaging (MRI). In this context, image fusion is a method for creating an image by merging pertinent data from 2 or more images. The resultant image will be highly useful than the individual input images to retentive the vital characteristics of every image. Multiple image fusion is a significant method employed in image processing techniques. In this study, differential evolution (DE) algorithm-based image fusion has been performed with MRI and computed tomography (CT) images. The simulation works have been carried out to evaluate the different quality measurements of DE on image fusion.

Artículo

Palabras clave

De-speckling, Brain tumor detection, CT, DE, Image fusion, MRI.

Articulos relacionados

• New Intuition on Ear Authentication with Gabor Filter Using Fuzzy Vault
• Optimal choice of supervised techniques for MR image classification
• Intelligent gas booking and leakage system using wireless sensor networks
• Smart driving system with automatic driver alert and braking mechanism
• Design of Modified March-C Algorithm and Built-in Self-Test Architecture for Memories
• The human ear recognition based on phase-based matching algorithm
• Music recommendation system based on facial emotion recognition
• Survey on various perspectives of Raman Amplifiers
• Queuing system in Synchronous Optical Network (SONET)
• Human 2D Ear Biometric Recognition Based on Contour Matching Technique