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散装仓粮食数量识别关键——矩形标尺图像识别
引用本文:林鹰,付洋.散装仓粮食数量识别关键——矩形标尺图像识别[J].浙江大学学报(自然科学版 ),2007,41(10):1643-1646.
作者姓名:林鹰  付洋
作者单位:1.重庆交通大学 信息与系统工程系,重庆 400074; 2.天津大学 信息工程学院,天津 300072
基金项目:国家自然科学基金资助项目(60603027),重庆市财政局重点科技资助项目(2007)
摘    要:根据散装粮仓粮食数量识别要求,以场景视频图为识别对象,对通过边缘检测得到的差分结果进行迭代分析,得到对象边界.基于与识别目标相吻合的梯度算子的区域迭代阈值进行图像特征二次提取,利用模糊识别隶属度函数进行矩形标尺判断,有效地提高了识别算法的抗干扰性、鲁棒性、识别精度和效率,并用Visual C++实现了该识别算法.该方法为杜绝粮食储备管理中的弊端,提供了一种粮食储备的智能稽核方法.

关 键 词:边缘检测差分  模糊识别  隶属度函数  迭代分析
文章编号:1008-973X(2007)10-1643-04
修稿时间:2007-06-17

Key of bulk warehouse grain quantity recognition——Rectangular benchmark image recognition
LIN Ying,FU Yang.Key of bulk warehouse grain quantity recognition——Rectangular benchmark image recognition[J].Journal of Zhejiang University(Engineering Science),2007,41(10):1643-1646.
Authors:LIN Ying  FU Yang
Affiliation:1. Department of Information and Electrical Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Information Engineering, Tianjin University, Tianjin 300072, China
Abstract:According to the requests of bulk warehouse grain quantity recognition,the scene video was taken as the identified object to obtain the object's boundary from the result of edge detection difference iterative analysis.The region iterative threshold value of the gradient operator fitting closely with the identified target was used to execute the picture characteristic second-extraction,then rectangular benchmark judgment using the membership functions of fuzzy recognition was carried out,and finally this recognition algorithm was realized by adopting Visual C .Experimental results showed that this recognition algorithm effectively enhances the anti-jamming capability,robustness,recognition precision and efficiency.This work provides a grain reserving intelligent audit method for eliminating the shortcomings in grain reserving management.
Keywords:edge detection difference  fuzzy recognition  membership function  iterative analysis
本文献已被 CNKI 维普 等数据库收录!
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