統計力学的手法にもとづくマルコフ確率場モデルにおける近似最適化アルゴリズム (<特集>「産業におけるソフトコンピュ-ティングに関する国際会議'99」発表論文選集)

概要

論文の詳細を見る
An image restoration can be often formulated as an energy minimization problem. When an energy function is expressed by using the hamiltonian of a classical spin system only with finite range interactions, the probabilistic model, which is described in the form of Gibbs distribution for the energy function, can be regarded as a Markov random field (MRF) model. Some approximate optimization algorithms for the energy minimization problem were proposed in the standpoint of statistical-mechanics. In this paper, the approximate optimization algorithms are summarized and are applied to the image restoration for natural image.
室蘭工業大学の論文
2000-11-30