Abstract
The authors propose two definitions for fuzzy mathematical morphology. They extend the set of possible operations on fuzzy sets by adding morphological operations, taking into account a fuzzy neighborhood. They are compatible with classical mathematical morphology on binary sets or gray-level functions with binary structuring elements. Their properties are presented and comparisons are made between the two approaches. Fuzzy mathematical morphology provides new operations on fuzzy sets and can be applied in particular for introducing spatial uncertain information in a decision process for data fusion. >
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
