灰度图像逻辑或运算CNN模板的顽健性设计

doi:10.3969/j.issn.1000-436x.2014.05.012

Abstract

Abstract:

A kind of gray-scale logic OR operation (GLOGOR) CNN was proposed by formulating the logic OR algo-rithms for gray-scale images. It could perform a pixel-wise logic OR operation on corresponding elements of two gray-scale images. A theorem was established to design the robustness template parameters of GLOGOR CNN, and a ri-gorous mathematical proof was given. The theorem provided parameter inequalities for determining parameter intervals to implement the corresponding tasks. The simulation results illustrate the effectiveness of the methodology.

Key words: CNN, gray-scale images, logic OR operation, robustness template design

Qun ZHANG,Le-quan MIN. Robustness design of templates for logic OR operation CNN in gray-scale images[J]. Journal on Communications, 2014, 35(5): 88-94.

Figures/Tables 6

局部规则	u _i,j(0)	x _i,j(0)	?	y_{i ,j}(∞)
局部规则1	$g_{i, j}^{11}$	$g_{i, j}^{21}$	?	-1
局部规则2	$g_{i, j}^{11}$	$g_{i, j}^{22}$	?	1
局部规则3	$g_{i, j}^{12}$	$g_{i, j}^{21}$	?	1
局部规则4	$g_{i, j}^{12}$	$g_{i, j}^{22}$	?	1

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