✦ LIBER ✦

Geodesic methods in quantitative image analysis

✍ Scribed by C. Lantuejoul; F. Maisonneuve

Publisher: Elsevier Science
Year: 1984
Tongue: English
Weight: 681 KB
Volume: 17
Category: Article
ISSN: 0031-3203
DOI: 10.1016/0031-3203(84)90057-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Geodesic methods in quantitative image a

Geodesic methods in quantitative image analysis

✍ C. Lantuejoul; F. Maisonneuve 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 29 KB

Quantitative Image Analysis in Darmstadt

✍ Konrad Sandau 📂 Article 📅 2007 🏛 Wiley (John Wiley & Sons) ⚖ 127 KB 👁 1 views

The 14 th workshop "Quantitative Image Analysis" has been held at the University of Applied Sciences in Darmstadt on 15 June 2007. Image Analysis works on complex images as 3D-images, massive mosaics and video sequences.

Image and structure quantitative analysi

Image and structure quantitative analysis

✍ B. Shpigler 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 157 KB

Guest editorial: Advances in quantitativ

Guest editorial: Advances in quantitative image analysis

✍ Kevin J. Coakley; Mark S. Levenson 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 12 KB 👁 1 views

We thank the International Journal of Imaging Systems and Technology for the opportunity to present a special issue on quantitative image analysis. Quantitative analysis of images plays an important role in a variety of fields including acoustics, astronomy, combustion science, electromagnetics, geo

Calibration methods for quantitative ima

Calibration methods for quantitative image processing in electron microscopy

✍ Lamvik, Michael K. ;Davilla, Scott 📂 Article 📅 1989 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 586 KB

An image can be represented digitally as a matrix of numbers. When those numbers are linearly related to a property of the object, such as mass per unit area, a simple integration of an image area leads to a total of that property, such as the mass of a particle that is represented in a selected are

Artificial intelligence methods in quant

Artificial intelligence methods in quantitative electroencephalogram analysis

✍ V. Jagannathan; J.R. Bourne; B.H. Jansen; J.W. Ward 📂 Article 📅 1982 🏛 Elsevier Science ⚖ 908 KB

A set of programs designed to implement artificial-intelligence-related concepts in quantitative electroencephalogram anabsis are described. The programs use rule-based logic with top down parsing (backward chaining) to evaluate EEG data. A simple implementation of fuzzy logic in premise clauses of