Image Restoration by Spatial Clustering
スポンサーリンク
概要
- 論文の詳細を見る
A method based on clustering is presented for restoring and segmenting gray scale images. An optimum clustering obtained by a gradient method gives an image with gray scale values which vary smoothly in each segmented region. The method is also applied to restoration from sparsely sampled data.
- 社団法人電子情報通信学会の論文
- 1996-07-25
著者
-
URAHAMA Kiichi
Department of Computer Science and Communication Engineering, Kyushu University
-
Matsunaga Hiroyuki
Department Of Surgery Tsushima City Hospital
-
Matsunaga Hiroyuki
Department Of Visual Communication Design Kyushu Institute Of Design
-
SHINGAI Hiroto
Department of Visual Communication Design, Kyushu Institute of Design
-
Shingai H
Department Of Visual Communication Design Kyushu Institute Of Design
関連論文
- A Reductive Perturbation Approach to Hard-Mode Instabilities of Inverted-Type Bifurcations
- Time-Dependent Ginzburg-Landau Equations for Hard-Mode Instabilities
- A FACTORIZATION METHOD FOR FISH-EYE CAMERAS(International Workshop on Advanced Image Technology 2006)
- Modified Deformable Model for Bijective Topology Preserving Map
- Adenosquamous carcinoma of the gallbladder with tumor thrombus in left portal trunk
- Equivalence between Some Dynamical Systems for Optimization
- Partially Supervised Learning for Nearest Neighbor Classifiers
- Image Restoration by Spatial Clustering