Computer Assisted Image Analysis for Objective Determination of Scanning Resolution for Photographic Collections – An Automated Approach

Author： He Lei Michel Phil Puglia Steven Williams Don

Publisher： Society for Imaging Science and Technology

ISSN： 2161-8798

Source： Archiving Conference, Vol.2013, Iss.1, 2013-01, pp. : 43-47

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

autoSFR: New Extensions to Automated Scanning Resolution Determination for Photographic Collections

By He Lei Michel Phil Puglia Steven Williams Don

Archiving Conference, Vol. 2014, Iss. 1, 2014-06 ,pp. : 101-105

Society for Imaging Science and Technology

Access to resources Recommend Favorite

Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping

By Paulus Stefan Dupuis Jan Riedel Sebastian Kuhlmann Heiner

Sensors, Vol. 14, Iss. 7, 2014-07 ,pp. : 12670-12686

MDPI

Access to resources Recommend Favorite

Ultimate resolution limits for scanning electron microscope immersion objective lenses

By Khursheed A.

Optik – International Journal for Light and Electron Optics, Vol. 113, Iss. 2, 2002-04 ,pp. : 67-77

Urban & Fischer

Access to resources Recommend Favorite

A Photogrammetric and Computer Vision-Based Approach for Automated 3D Architectural Modeling and Its Typological Analysis

By García-Gago Jesús González-Aguilera Diego Gómez-Lahoz Javier San José-Alonso Jesús Ignacio

Remote Sensing, Vol. 6, Iss. 6, 2014-06 ,pp. : 5671-5691

MDPI

Access to resources Recommend Favorite

Comparison of Manual Mapping and Automated Object-Based Image Analysis of Non-Submerged Aquatic Vegetation from Very-High-Resolution UAS Images

By Husson Eva Ecke Frauke Reese Heather

Remote Sensing, Vol. 8, Iss. 9, 2016-09 ,pp. : 724-724

MDPI

Access to resources Recommend Favorite