F-1333 複数の特徴量に基づく多次元共生起行列を用いた画像領域分割(第2報)(J29-1 ロボットビジョン)(J29 センサ・アクチュエータシステムとその知能化 : 実環境で活躍するメカトロニクスをめざして)

概要

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The co-occurrence matrix based method of image segmentation belongs to the class of region-based techniques. It utilizes the observations: (1) features of the multiple windows neighboring a pixel do not differ significantly from one another, (2) features corresponding to pixels belonging to the same object form a cluster in the feature space, (3) the cluster may frequently be approximated by a Gaussian distribution. This paper extends the co-occurrence matrix based method. The definition of co-occurrence features is extended from one dimension to many dimensions: the number of observation windows is extended from two to an arbitrary number.
一般社団法人日本機械学会の論文
2001-08-22