Abstract
The application of fuzzy sets, neural networks and statistical methods in a shape understanding system (SUS), is presented. The shape understanding system operates based on the knowledge of image processing, decision making and search strategies as well as the knowledge of shape description and representation distributed among the specialized experts. The SUS is built to imitate the capability of the visual system in performing visual thinking.
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.
