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基于云模型元胞自动机的图像边缘检测方法
引用本文:张珂,郭佳,苑津莎.基于云模型元胞自动机的图像边缘检测方法[J].华北电力大学学报,2009,36(1).
作者姓名:张珂  郭佳  苑津莎
作者单位:1. 华北电力大学,电气与电子工程学院,河北,保定071003
2. 河北金融学院,信息管理与工程系,河北,保定,071000
基金项目:华北电力大学校内科研基金 
摘    要:针对基于模糊或元胞自动机的图像边缘检测方法所存在的问题,提出了一种新的基于云模型元胞自动机的图像边缘检测方法。采用方向信息测度与边缘有序性度量作为边缘特征信息,将这些信息作为输入进行云推理,利用推理结果对方向信息测度信息和边缘有序性度量信息进行精确反馈,最后通过元胞自动机的自动演化得到图像边缘。试验表明,本文算法具有很强的细节边缘检测能力,是一种实用、高效的图像处理算法。

关 键 词:边缘检测  云模型  元胞自动机  多信息融合  云推理

Algorithm of edge detection based on cloud model cellular automata
ZHANG Ke,GUO Jia,YUAN Jin-sha.Algorithm of edge detection based on cloud model cellular automata[J].Journal of North China Electric Power University,2009,36(1).
Authors:ZHANG Ke  GUO Jia  YUAN Jin-sha
Affiliation:1.School of Electrical and Electronic Engineering;North China Electric Power University;Baoding 071003;China;2.Department of Information Management and Engineering;Hebei College of Finance;Baoding 071000;China
Abstract:To resolve the problems of edge detection algorithm of images based on fuzzy seasoning and cellular automata,a new improved edge detection algorithm of images based on cloud model cellular automata was presented.Firstly,direction information and edge order information were used as edge characteristic information;Secondly,cloud model was applied to inference those information;Thirdly, accurate feedback information gotten from inference results was added to direction information measure and direction edge ord...
Keywords:edge detection  cloud model  cellular automata  multi-information fusion  cloud reasoning  
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