๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Mathematical Morphology for Edge and Overlap Detection for Medical Images

โœ Scribed by S. Godbole; A. Amin


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
832 KB
Volume
1
Category
Article
ISSN
1077-2014

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Detection of image orientation with math
โœ Masahide Naemura; Atsushi Fukuda; Yasunobu Mizutani; Yoshinori Izumi; Koichi Yam ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 567 KB

We propose a new method of detecting image orientations by using mathematical morphology, a type of nonlinear processing. In the new method, an opening filter with a one-dimensional structure along each orientation axis detects image orientations after detection of oriented edges in the images. Area

Progressive edge detection compression f
โœ Awad K. Al-Asmari ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 272 KB

## Abstract In this article, a progressive fingerprint image compression (for storage or transmission) that uses an edge detection scheme is developed. First, the image is decomposed into two components: the primary component, which contains the edges, and the secondary component, which contains th

Patterns from the sky: Satellite image a
โœ Karina Waldemark; Thomas Lindblad; Vlatko Beฤanoviฤ‡; Jose L.L. Guillen; Phillip ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 247 KB

In this work we attempt to distinguish land from water in satellite images, speciยฎcally images taken by the FORT E satellite. First, we successfully approximate areas hidden by stationary artefacts in the image. We then segment regions of land from water. Finally, we determine the boundaries of the