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基于Mahalanobis距离与BP网络的图像小波标定识别技术
引用本文:刘晓初,梁忠伟.基于Mahalanobis距离与BP网络的图像小波标定识别技术[J].广州大学学报(自然科学版),2008,7(6).
作者姓名:刘晓初  梁忠伟
作者单位:广州大学先进制造技术研究院,广东广州,510006
摘    要:针对计算机芯片检测,提出了基于Mahalanobis距离与BP人工神经网络的小波图像识别技术.在对Ic芯片图像进行二维小波分析后,通过Mahalanobis距离在图像的低频小波系数矩阵上进行目标图元的区域搜索与位置标定,而后根据待定目标图元像素分布特征建立特征参数向量,建立BP网络对目标图元进行模式识别.实验证明此方法能够有效地对IC图像进行目标图元的位置标定与模式识别,获得准确的IC标定识别结果.

关 键 词:Mahalanobis距离  BP网络  小波分析  芯片检测

Wavelet image recognizing and calibrating technology based on Mahalanobis distance and BP network
LIU Xiao-chu,LIANG Zhong-wei.Wavelet image recognizing and calibrating technology based on Mahalanobis distance and BP network[J].Journal og Guangzhou University:Natural Science Edition,2008,7(6).
Authors:LIU Xiao-chu  LIANG Zhong-wei
Affiliation:LIU Xiao-chu,LIANG Zhong-wei(Academy of Advanced Manufacturing Technology,Guangzhou University,Guangzhou 510006,China)
Abstract:For purpose of IC chip detection,a new image recognizing and calibrating technology based on Mahalanobis distance and BP network is proposed.After IC chip's micro-image has been given wavelet analysis,Mahalanobis distance is calculated and used to implement IC object's region searching and position calibrating,then its feature parameters are calculated,BP network is established for object's pattern recognition.Experiment proves that this method can achieve IC image's position calibration and pattern recogni...
Keywords:Mahalanobis distance  BP networks  wavelet analysis  IC chip detection  
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