An Image Fusion Approach based on Adaptive Fuzzy Logic Model with Local Level Processing

An Image Fusion Approach based on Adaptive Fuzzy Logic Model with Local Level Processing

Image fusion has lots of application in real life to furnish a combined form of many oriented objects of different images into single image. Adaptive Fuzzy logic model with local level processing is a controlling tool to model image characteristics accurately and been successfully applied to a large number of image processing applications. In this paper an adaptive fuzzy logic model have been p...

Medical Image Fusion Based on Fuzzy Logic

Medical image fusion is one of the popular research topics. Medical image fusion generally means the matching and fusion between two or more images of the same lesion area from different medical imaging equipment. Medical image fusion aims to obtain complementary information and also increase the amount of information. Medical image fusion technique is to combine the information of a variety of...

An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model

High spatiotemporal resolution satellite imagery is useful for natural resource management and monitoring for land-use and land-cover change and ecosystem dynamics. However, acquisitions from a single satellite can be limited, due to trade-offs in either spatial or temporal resolution. The spatial and temporal adaptive reflectance fusion model (STARFM) and the enhanced STARFM (ESTARFM) were dev...

Multimodal medical image fusion based on Yager’s intuitionistic fuzzy sets

The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of-the-art image fusing technique is based on nonfuzzy sets, and the fused image so obtained lags with complementary information. Intuitionistic fuzzy sets (IFS) are determined to be more suitable for civilian, and medi...

Multilevel Information Fusion: A Mixed Fuzzy Logic/Geometrical Approach with Applications in Brain Image Processing