Information fusion in computer vision using the fuzzy integral

1990/01/01 by H. Tahani, Hossein Tahani, James M. Keller +1 · 10 citations
Decision Sciences · Engineering · Computer Science · #Multi-Criteria Decision Making #Remote-Sensing Image Classification #Face and Expression Recognition

paper · doi:10.1109/21.57289

Abstract

A method of evidence fusion, based on the fuzzy integral, is developed. This technique nonlinearly combines objective evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect to the decision. Various new theoretical properties of this technique are developed, and its applicability to information fusion in computer vision is demonstrated through simulation and with object recognition data from forward-looking infrared imagery.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Citations

• A fuzzy K-nearest neighbor algorithm

Cited by

• An explainable multi-modal feature fusion method based on correlation-compensated Choquet integration
• Characterisation of Density-based FM generation methods in the context of Information Fusion
• Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
• Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification
• Recognition of Human Activities Using Depth Maps and the Viewpoint Feature Histogram Descriptor. [europepmc]
• Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study. [europepmc]
• Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models. [europepmc]
• Breast cancer survival prognosis using the graph convolutional network with Choquet fuzzy integral. [europepmc]
• Morphological classification of neurons based on Sugeno fuzzy integration and multi-classifier fusion. [europepmc]
• Information Fusion-2-Text: Explainable Aggregation via Linguistic Protoforms [europepmc]

Related

• Fuzzy Theory in Computer Vision: A Review
• Information measure for performance of image fusion
• Characterisation of Density-based FM generation methods in the context of Information Fusion
• Comparisons of Reasoning Mechanisms for Computer Vision
• Non-linear and Selective Fusion of Cross-Modal Images