Lower solutions of systems of fuzzy equations
Fuzzy Sets and Systems
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy relation equations for coding/decoding processes of images and videos
Information Sciences—Informatics and Computer Science: An International Journal
Algorithm for Solving Max-product Fuzzy Relational Equations
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Compression and decompression of images with discrete fuzzy transforms
Information Sciences: an International Journal
Fuzzy transform in the analysis of data
International Journal of Approximate Reasoning
An image coding/decoding method based on direct and inverse fuzzy transforms
International Journal of Approximate Reasoning
A survey on fuzzy relational equations, part I: classification and solvability
Fuzzy Optimization and Decision Making
A segmentation method for images compressed by fuzzy transforms
Fuzzy Sets and Systems
Fuzzy transforms method and attribute dependency in data analysis
Information Sciences: an International Journal
Fuzzy transforms: Theory and applications
Fuzzy Sets and Systems
On the relation between equations with max-product composition and the covering problem
Fuzzy Sets and Systems
A method for coding/decoding images by using fuzzy relation equations
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Fuzzy transforms of monotone functions with application to image compression
Information Sciences: an International Journal
Image annotation techniques based on feature selection for class-pairs
Knowledge and Information Systems
Query processing issues in region-based image databases
Knowledge and Information Systems - Special Issue:Best Papers from the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008);Guest Editors: Takashi Washio, Einoshin Suzuki and Kai Ming Ting
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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We apply the concept of Fuzzy Transform (for short, F-transform) for improving the results of the image matching based on the Greatest Eigen Fuzzy Set (for short, GEFS) with respect tomax-min composition and the Smallest Eigen Fuzzy Set (for short, SEFS) with respect to min-max composition already studied in the literature. The direct F-transform of an image can be compared with the direct F-transform of a sample image to be matched and we use suitable indexes to measure the grade of similarity between the two images. We make our experiments on the image dataset extracted from the well-known Prima Project View Sphere Database, comparing the results obtained with this method with that one based on the GEFS and SEFS. Other experiments are performed on frames of videos extracted from the Ohio State University dataset.