Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images
verfasst von : Felicitas Perez-Ornelas, Olivia Mendoza, Patricia Melin, Juan R. Castro
Erschienen in: Recent Advances on Hybrid Intelligent Systems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this paper a new method to calculate a quality index for edge detection of an image is proposed. The new method can be applied to synthetic or real images, and consists on an interval type-2 fuzzy system (IT2FS). The inputs for the IT2FS correspond to a combination of parameters representing the most influential characteristics of an edge image according on literature and our previous experience. This new index can be calculated for any edge detected image, including the traditional and fuzzy methods.