Abstract
Manipulation and transformation of symbolic images requires, in order to become efficient, various high-level data structures and procedures. This is especially true for applications of heuristic type. This paper introduces an image algebra which is based on symbolic projections and includes three fundamental aspects, i.e., a set of powerful relational operators, a generalized representation of "empty space" objects, and multilevel data representation for hierarchical data. Application to spatial reasoning is discussed.
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.
