Abstract
We introduce Weighted Finite Automata (WFA) as a tool to define real functions, in particular, the greyness functions of grey-tone images. Mathematical properties and the definition power of WFA have been studied by Culik and Karhumaki. Their generative power is incomparable with Barnsley's Iterative Function Systems. Here, we give an automatic encoding algorithm that converts an arbitrary grey-tone-image (a digitized photograph) into a WFA that can regenerate it (with or without information loss). The WFA seems to be the first image definition tool with such a relatively simple encoding algorithm.
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.
