Image Matching by Using Fuzzy Transforms
Joint Authors
Sessa, Salvatore
Di Martino, Ferdinando
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
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 to max-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.
American Psychological Association (APA)
Di Martino, Ferdinando& Sessa, Salvatore. 2013. Image Matching by Using Fuzzy Transforms. Advances in Fuzzy Systems،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-496627
Modern Language Association (MLA)
Di Martino, Ferdinando& Sessa, Salvatore. Image Matching by Using Fuzzy Transforms. Advances in Fuzzy Systems No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-496627
American Medical Association (AMA)
Di Martino, Ferdinando& Sessa, Salvatore. Image Matching by Using Fuzzy Transforms. Advances in Fuzzy Systems. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-496627
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496627