用Hopfield网络实现边缘模糊图象的二值化处理

Download: PDF (901 KB)
Export: BibTeX | EndNote (RIS)

Abstract Based on the Hopfield network a new method of binarization processing for blurring edge image is proposed. First, the binarization processing problem is turned into the optimization problem, then correspondent Hopfield network model and its parameters are designed. Experiments show that this method is of advantage for binarization processing the blurring edge image.

Key words： Image binarization processing Hopfield network Optimization

Received: 28 May 1996

PACS:	TN911.73
	TN-052

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors


	Zhang Ke
	Liu Guizhong

Cite this article:

Zhang Ke,Liu Guizhong. BINARIZATION PROCESSING FOR BLURRING EDGE IMAGE WITH HOPFIELD NETWORK[J]. , 1998, 20(1): 38-43 .

URL:

http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y1998/V20/I1/38

[1]	YU Xin, XU Zhijian, CHEN Zhaorong, XU Chenhua. Lagrange Neural Network for Nonsmooth Nonconvex Optimization Problems with Equality and Inequality Constrains[J]. JEIT, 2017, 39(8): 1950-1955.