Use of Boolean model for texture analysis of grey images

P. García*, M. Petrou, S. Kamata

*この研究の対応する著者

研究成果: Article査読

19 被引用数 (Scopus)

抄録

We generalize here the use of the 1D Boolean model for the analysis of grey level textures. Each grey image is first split into eight binary images using different criteria. Each of these binary images is separately analysed with the help of the 1D Boolean model and features are extracted from it. The final grey texture recognition is performed on the basis of these features using several classification criteria. Experiments have been carried out using an image database of 30 grey level textures, all of them with 512 × 512 pixels in size, obtaining correct classification rates between 95% and 100%, according to the classification criterion used.

本文言語English
ページ(範囲)227-235
ページ数9
ジャーナルComputer Vision and Image Understanding
74
3
DOI
出版ステータスPublished - 1999 6 10
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • コンピュータ ビジョンおよびパターン認識

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