image matching by using fuzzy transforms

Clicks: 180
ID: 192371
2013
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Abstract
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.
Reference Key
martino2013advancesimage Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Ferdinando Di Martino;Salvatore Sessa
Journal jurnal teknologi dan sistem komputer
Year 2013
DOI
10.1155/2013/760704
URL
http://dx.doi.org/10.1155/2013/760704
Keywords
electrical engineering electronics nuclear engineeringcomputer software

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