A filter of concentric shapes for image recognition and its implementation in a modified DT-CNN

被引：0

作者：

Sandoval, H ^{[1
]}

Hattori, T

Kitagawa, S

Chigusa, Y

机构：

[1] Tokyo Metropolitan Univ, Grad Sch Engn, Hachioji, Tokyo 1920982, Japan

[2] Tokyo Int Univ, Dept Management & Informat Sci, Kawagoe, Saitama 3501197, Japan

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2001年 / E84A卷 / 09期

关键词：

edge detection; recursive thinning; cellular neural networks; image processing;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes the implementation of a proposed image filter into a Discrete-Tune Cellular Neural Network (DT-CNN). The three stages that compose the filter are described, showing that the resultant filter is capable of (1) erasing or detecting several concentric shapes simultaneously, (2) thresholding and (3) thinning of gray-scale images. Because the DT-CNN has to fill certain conditions for this filter to be implemented, it becomes a modified version of a DT-CNN. Those conditions are described and also experimental results are clearly shown.

引用

页码：2189 / 2197

页数：9

共 30 条

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