✦ LIBER ✦

A systematic way for region-based image segmentation based on Markov Random Field model

✍ Scribed by Il Y. Kim; Hyun S. Yang

Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 503 KB
Volume: 15
Category: Article
ISSN: 0167-8655
DOI: 10.1016/0167-8655(94)90028-0

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A new conception of image texture and re

A new conception of image texture and remote sensing image segmentation based on Markov random field

✍ Yan Gong; Ning Shu; Jili Li; Liqun Lin; Xue Li 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 634 KB

A Markov Random Field Model-Based Approa

A Markov Random Field Model-Based Approach to Natural Image Matting

✍ Sheng-You Lin; Jiao-Ying Shi 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 525 KB

Oriented Markov Random Field Based Dendr

Oriented Markov Random Field Based Dendritic Spine Segmentation for Fluorescence Microscopy Images

✍ Jie Cheng; Xiaobo Zhou; Eric L. Miller; Veronica A. Alvarez; Bernardo L. Sabatin 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 820 KB

EM procedures using mean field-like appr

EM procedures using mean field-like approximations for Markov model-based image segmentation

✍ Gilles Celeux; Florence Forbes; Nathalie Peyrard 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 484 KB

Image segmentation using Markov random ÿelds involves parameter estimation in hidden Markov models for which the EM algorithm is widely used. In practice, di culties arise due to the dependence structure in the models and approximations are required. Using ideas from the mean ÿeld approximation prin

Image classification based on Markov ran

Image classification based on Markov random field models with Jeffreys divergence

✍ Ryuei Nishii; Shinto Eguchi 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 189 KB

An integrated approach for scene underst

An integrated approach for scene understanding based on Markov Random Field model

✍ Il Y. Kim; Hyun S. Yang 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 773 KB