Abstract
A family of picture information measures based upon the concept of the minimum number of gray level changes to convert a picture into one with a desired histogram is presented. This family of picture information measures is found to satisfy a number of axions and useful inequalities. A natural extension to a Lorenz information measure is discussed. Based upon these information measures, a structural information measure can also be defined for logical pictures. Application to similarity retrieval in a pictoral information system are then suggested.
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.
