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

摘要: 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.

 

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

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.

 

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