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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Final Program and Proceedings - IS and T/SID Color Imaging Conference
Pages	126-129
Number of pages	4
Publication status	Published - 1995
Externally published	Yes
Event	Final Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ Duration: 1995 Nov 7 → 1995 Nov 10

Other

Other	Final Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications
City	Scottsdale, AZ
Period	95/11/7 → 95/11/10

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Cite this

Satonaka, T, Asari, K, Katsu, S, Otsuki, T & Baba, T 1995, A real-time object correction algorithm using cellular neural network for interactive color image processor. in Final Program and Proceedings - IS and T/SID Color Imaging Conference. pp. 126-129, Final Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications, Scottsdale, AZ, 95/11/7.

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

abstract = "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.",

author = "Takami Satonaka and Koji Asari and Shinichi Katsu and Tatsuo Otsuki and Takaaki Baba",

year = "1995",

language = "English",

pages = "126--129",

booktitle = "Final Program and Proceedings - IS and T/SID Color Imaging Conference",

note = "Final Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications ; Conference date: 07-11-1995 Through 10-11-1995",

}

TY - GEN

T1 - A real-time object correction algorithm using cellular neural network for interactive color image processor

AU - Satonaka, Takami

AU - Asari, Koji

AU - Katsu, Shinichi

AU - Otsuki, Tatsuo

AU - Baba, Takaaki

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33646224651&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33646224651&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33646224651

SP - 126

EP - 129

BT - Final Program and Proceedings - IS and T/SID Color Imaging Conference

T2 - Final Program and Proceedings of the 3th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications

Y2 - 7 November 1995 through 10 November 1995

ER -

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

Abstract

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ASJC Scopus subject areas

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