Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Applying Evolution Strategies for Chest Radiographs Segmentation
Authors: Oliviu Matei
– 0.30 Mb
Abstract
WSegmentation is one of the key areas in computer vision. Advanced techniques, such as active contour models and active shape models suffer from many drawbacks. An improvement of the two approaches, based in evolution strategies, is presented. Some of its advantages lie in less computational resources and less a priori knowledge required. At the end of the paper, the results of the experiments carried out with the new approach are presented.Oliviu Matei
Technical University of Cluj-Napoca,
E-mail:
Technical University of Cluj-Napoca,
E-mail:
Fulltext
– 0.30 Mb
Contents
- Generating Languages by P Systems with Minimal Symport/Antiport
- Applying Evolution Strategies for Chest Radiographs Segmentation
- Nash equilibria set computing in finite extended games
- Graph Coloring using Peer-to-Peer Networks
- The graphic representations for the one-dimensional solutions of problem from elastic mechanic deformations of two-component mixture
- An Approach to Shorten Digital Signature Length
- Cryptoschemes Based on New Signature Formation Mechanism
