New templates of CNN for extracting corners of objects in gray-scale images

Lequan Min; Ming Lei; Xisong Dong

Volume 10 Issue 3

Jun. 2003

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 2003 > 10(3): 73-75

Lequan Min, Ming Lei, and Xisong Dong, New templates of CNN for extracting corners of objects in gray-scale images, J. Univ. Sci. Technol. Beijing, 10(2003), No. 3, pp. 73-75.

Cite this article as:

Lequan Min, Ming Lei, and Xisong Dong, New templates of CNN for extracting corners of objects in gray-scale images, J. Univ. Sci. Technol. Beijing, 10(2003), No. 3, pp. 73-75.

Lequan Min, Ming Lei, and Xisong Dong, New templates of CNN for extracting corners of objects in gray-scale images, J. Univ. Sci. Technol. Beijing, 10(2003), No. 3, pp. 73-75.

Citation:

Lequan Min, Ming Lei, and Xisong Dong, New templates of CNN for extracting corners of objects in gray-scale images, J. Univ. Sci. Technol. Beijing, 10(2003), No. 3, pp. 73-75.

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Communication

New templates of CNN for extracting corners of objects in gray-scale images

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Corresponding author:
Lequan Min E-mail: lqmin@sohu.com
Received: 20 January 2003

Abstract

Abstract

A new cellular neural network (CNN) with nonlinear templates is presented for extracting convex corners of objects in gray-scale images. Application examples showed that the new CNN can even detect convex corner characteristics of objects in im-ages with Gaussian noise.
- cellular neural network;
- extract convex corners;
- gray-scale images