Abstract

Lines in images, after digitization, binary conversion, and thinning, can be represented as piece-wise linear curves on a two-dimensional plane. The piece-wise linear plane curves may be converted to regularized curvature functions by the use of kernel functions. The method of kernel functions gives position, orientation, and if desired, length invariant representations of the piece-wise linear curves, and produces controllably smooth descrip-tions while preserving the overall shape of the original curve. The method is applicable to shape description for matching, identification and smooth reconstruction.© (1984) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Full Text
Paper version not known

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 call

Disclaimer: 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.