A real-time object correction algorithm using cellular neural network for interactive color image processor

Takami Satonaka*, Koji Asari, Shinichi Katsu, Tatsuo Otsuki, Takaaki Baba

*この研究の対応する著者

研究成果: Conference contribution

抄録

We present a novel model for realizing a real-time image correction of specified objects in moving pictures. A cellular neural network incorporating human visual perception functions is proposed. It enables real-time color feature detection and smoothing interpolation of the object. This model is efficiently implemented into LSI circuits by using the finite element method. Smooth and selective correction effects are obtained in the face correction.

本文言語English
ホスト出版物のタイトルFinal Program and Proceedings - IS and T/SID Color Imaging Conference
ページ126-129
ページ数4
出版ステータスPublished - 1995
外部発表はい
イベントFinal Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ
継続期間: 1995 11 71995 11 10

Other

OtherFinal Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications
CityScottsdale, AZ
Period95/11/795/11/10

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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