๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Image segmentation schema for low-level computer vision

โœ Scribed by Tetsuo Asano; Naokazu Yokoya


Publisher
Elsevier Science
Year
1981
Tongue
English
Weight
508 KB
Volume
14
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Bayesian Level Sets for Image Segmentati
โœ Eftichis Sifakis; Christophe Garcia; Georgios Tziritas ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 325 KB

This paper presents a new general framework for image segmentation. A level set formulation is used to model the boundaries of the image regions and a new Multilabel Fast Marching is introduced for the evolution of the region contours toward the segmentation result. Statistical tests are performed t

Prototype machine vision system for segm
โœ Dmitry Chetverikov; Attila Lerch ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 494 KB

We give a brief description of the operation principles of LeaVis, a prototype industrial machine vision system aimed at processing and segmentation of the images of hides marked by lines and other symbols that show defects and areas of different quality. The goal of LeaVis is to provide a visual in

Photorefractive fourier image amplificat
โœ G. C. Gilbreath; J. F. Reintjes ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 915 KB

In this article we demonstrate viable photorefractive image ampfiification in BaTiO, at extremely low light levels. Uniform image amplijication was observed over a range of intensity levels for different beam ratios. 7'he technique is shown to be robust against beam fanning, the primary source of no

Call for Papers: Special Issue of Comput
๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 19 KB

## Call for Papers Special Issue of Computer Vision and Image Understanding on Empirical Evaluation of Computer Vision Algorithms Computer vision has advanced to the point where a stronger experimental tradition is needed. As the importance of this need becomes better recognized, more researchers