$ Donate
  • Course Schedule
    • 2025 Course Calendar
    • Additional Course Information
    • Directions and Transportation
    • Hotels
  • Inter/Micro Conference
    • About Inter/Micro 2025
    • Abstract Submission Guidelines
    • Exhibitor & Sponsor Registration
    • Workshop: Paper Fiber Microscopy
    • SMSI Silent Auction
    • Photomicrography Competition
    • Directions and Transportation
    • Hotels
  • The Microscope Journal
    • About The Microscope Journal
    • Subscriptions and Renewals
    • Guide for Authors
    • The Microscope Vol. 71:4 2024
    • The Microscope Vol. 71:3 2024
    • The Microscope Vol. 71:2 2024
    • The Microscope Vol. 71:1 2024
    • The Microscope Vol. 70:4 2023
    • The Microscope Vol. 70:3 2023
    • The Microscope Vol. 70:2 2023
    • The Microscope Vol. 70:1 2023
    • The Microscope Vol. 69:4 2022
    • The Microscope Vol. 69:3 2022
    • The Microscope Vol. 69:2 2022
    • The Microscope Vol. 69:1 2022
    • The Microscope Vol. 68:3/4 2020
    • The Microscope Vol. 68:2 2020
    • The Microscope Vol. 68:1 2020
    • The Microscope Vol. 67:4 2019
    • The Microscope Vol. 67:3 2019
    • The Microscope Vol. 67:2 2019
    • The Microscope Vol. 67:1 2019
    • The Microscope Vol. 66:4 2018
    • The Microscope Vol. 66:3 2018
    • The Microscope Vol. 66:2 2018
    • The Microscope Vol. 66:1 2018
  • Publications
    • Books, Charts, Graphs, Etc.
    • Videos
  • Research
    • Analytical Laboratory Research
    • About Research at McCrone
    • Isabella Stewart Gardner Museum Theft
    • The Vinland Map
    • Shroud of Turin Research at McCrone
    • The Latest McCrone Shroud Update
  • About and Contact
    • About Lucy B. McCrone
    • About Walter C. McCrone
    • Contact
    • Privacy and Other Policies

Object Boundaries in Digital Images

THE MICROSCOPE
2019, Volume 67:4, pp. 159–169
DOI
https://doi.org/10.59082/BFFF8381
AUTHORS
John C. Russ
ABSTRACT
Determining the boundaries of objects from digital images, which is important for their measurement, is often a challenge. Limitations are imposed by nonuniform lighting or density, optics, dimensions of solid-state detector arrays, noise, and pixelation of the image. A wide variety of computer algorithms illustrated here seek to address these problems, but there is no universally optimum solution. Often, the goal is to achieve repeatability on a particular class of images and objects rather than absolute accuracy.
Subscribe to The Microscope
McCrone Research Institute
A Not-for-Profit Corporation
2820 South Michigan AvenueChicago, IL 60616-3230 (312) 842-7100 (312) 842-1078 (fax)
Copyright © 2025 McCrone Research Institute, Inc.

We use cookies to enable essential functionality on our website, and analyze website traffic. By clicking Accept you consent to our use of cookies. Read about how we use cookies.

Your Cookie Settings

We use cookies to enable essential functionality on our website, and analyze website traffic. Read about how we use cookies.

Cookie Categories
Essential

These cookies are strictly necessary to provide you with services available through our websites. You cannot refuse these cookies without impacting how our websites function. You can block or delete them by changing your browser settings, as described under the heading "Managing cookies" in the Privacy and Cookies Policy.

Analytics

These cookies collect information that is used in aggregate form to help us understand how our websites are being used or how effective our marketing campaigns are.