✦ LIBER ✦

Multiscale Bayesian texture segmentation using neural networks and Markov random fields

✍ Scribed by Tae Hyung Kim; Il Kyu Eom; Yoo Shin Kim

Publisher: Springer-Verlag
Year: 2008
Tongue: English
Weight: 848 KB
Volume: 18
Category: Article
ISSN: 0941-0643
DOI: 10.1007/s00521-007-0167-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Image Segmentation Using Markov Random F

Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures

✍ Tamás Szirányi; Josiane Zerubia; LászLó Czúni; David Geldreich; Zoltán Kato 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 669 KB

arkovian approaches to early vision processes need a huge amount of computing power. These algorithms can usually be implemented on parallel computing structures. Herein, we show that the Markovian labeling approach can be implemented in fully parallel cellular network architectures, using simple fu

Texture Classification and Retrieval Usi

Texture Classification and Retrieval Using the Random Neural Network Model

✍ Alper Teke; Volkan Atalay 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 444 KB

Classification and segmentation of vecto

Classification and segmentation of vector flow fields using a neural network

✍ A. Branca; G. Attolico; E. Stella; A. Distante 📂 Article 📅 1997 🏛 Springer-Verlag 🌐 English ⚖ 959 KB