Two computational intelligence approaches, a fuzzy logic algorithm and a neural network (NN) algorithm, for grain boundary detection in images of superalloy steel microstructure during sintering are presented in this paper. The images are obtained from an optical microscope and are quite noisy, whic
✦ LIBER ✦
Boundary detection in scintigraphic images
✍ Scribed by Siegfried J. Pöppl; Günter Herrmann
- Publisher
- Elsevier Science
- Year
- 1982
- Weight
- 90 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0146-664X
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Grain boundary detection in microstructu
✍
Orhan Dengiz; Alice E. Smith; Ian Nettleship
📂
Article
📅
2005
🏛
Elsevier Science
🌐
English
⚖ 925 KB
Scintigraphic Imaging in Tako-Tsubo Card
✍
Y.J. Akashi; M. Takano; F. Miyake
📂
Article
📅
2010
🏛
Urban and Vogel
🌐
German
⚖ 969 KB
Scintigraphic detection of adenoma in pr
✍
E. K. J. Pauwels; J. H. Bolk; J. M. Heslinga
📂
Article
📅
1985
🏛
Springer
🌐
English
⚖ 349 KB
Application of projection pursuit learni
✍
Lesa M. Kennedy; Mitra Basu
📂
Article
📅
2000
🏛
Elsevier Science
🌐
English
⚖ 853 KB
Projection pursuit learning networks (PPLNs) have been used in many "elds of research but have not been widely used in image processing. In this paper we demonstrate how this highly promising technique may be used to connect edges and produce continuous boundaries. We also propose the application of
Scintigraphic imaging with 99mTc- exorph
✍
T. Ertay; P. Ünak; C. Tasci; F. Zihnioğlu; H. Durak
📂
Article
📅
2005
🏛
Elsevier Science
🌐
English
⚖ 250 KB
Weed detection in 3D images
✍
A. Piron; F. van der Heijden; M. F. Destain
📂
Article
📅
2010
🏛
Springer US
🌐
English
⚖ 814 KB