MORPHOLOGICAL OPENING AND CLOSING NEURAL NETWORKS FOR IMAGE FILTERING

Yu Nong; Li Jicheng; Wang Runsheng

Volume 23 Issue 11

Nov. 2001

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Article Navigation > Journal of Electronics & Information Technology > 2001 > 23(11): 1220-1224

Yu Nong, Li Jicheng, Wang Runsheng. MORPHOLOGICAL OPENING AND CLOSING NEURAL NETWORKS FOR IMAGE FILTERING[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1220-1224.

Citation:

Yu Nong, Li Jicheng, Wang Runsheng. MORPHOLOGICAL OPENING AND CLOSING NEURAL NETWORKS FOR IMAGE FILTERING[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1220-1224.

Yu Nong, Li Jicheng, Wang Runsheng. MORPHOLOGICAL OPENING AND CLOSING NEURAL NETWORKS FOR IMAGE FILTERING[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1220-1224.

Citation:

Yu Nong, Li Jicheng, Wang Runsheng. MORPHOLOGICAL OPENING AND CLOSING NEURAL NETWORKS FOR IMAGE FILTERING[J]. Journal of Electronics & Information Technology, 2001, 23(11): 1220-1224.

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MORPHOLOGICAL OPENING AND CLOSING NEURAL NETWORKS FOR IMAGE FILTERING

Received Date: 1999-12-17
Rev Recd Date: 2000-10-10
Publish Date: 2001-11-19

Abstract

Abstract

This paper presents morphological neural networks of opening and closing operation for pratical use, and the algorithm to design optimal parameters of a morphological filter, Experimental results show that this method is good in practice and easy to extend. It has better filtering properties than that of the conventional morphological ones. The task of creating a morphological filter can be divided into two basic problems, selecting a morphological operation and Structuring Element (SE). The set of morpholo...

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References

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