纸币接触式传感器图像模糊增强与边界检测  

Paper Currency CIS Image Fuzzy Enhancement and Boundary Detection

作　　者：刘习文[1,2,3] 薛家祥[1] 

机构地区：[1]华南理工大学机械与汽车工程学院,广州510641 [2]广州南沙资讯科技园有限公司博士后科研工作站,广州511458 [3]肇庆学院电子信息与机电工程学院,肇庆526061

出　　处：《科学技术与工程》2013年第34期10381-10385,10391,共6页Science Technology and Engineering

摘　　要：根据纸币CIS图像特点,先采用模糊集理论对纸币进行初次增强,提高目标区域对比度,然后扫描纸币边缘像素,采用最小二乘法拟合得到纸币亚像素边缘,拟合过程中,采用误差阈值法剔除噪声点,根据边缘角度对纸币进行倾斜校正并提取纸币区域,最后对提取后图像再一次进行模糊增强。实验表明,该方法通用性好,能有效地提高图像特征区域的对比度,在边缘磨损和缺角等情况下都能有效地提取纸币区域,并且增强后的图像有利于后续的纸币识别。According to the paper currency CIS image＇s features,the fuzzy set theory is initially used to enhance the banknote target＇s contrast,then the paper money＇s edge pixels are obtained by scanning,they are fitted by least square method to get sub-pixel edge,in the fitting process,the error threshold method is applied for eliminating noises,then slope correction of paper money is carried out according to the angle of sub-pixel edge line and the note area is extracted,finally,fuzzy enhancement is used for the extracted image again.Experiments show that,the method has good versatility,it can enhance the contrast of bank note image effectively,it can even extract the currency area precisely in the edge deterioration and unfilled comer condition,and the enhanced image is in favor of subsequent paper money recognition.

关 键 词：纸币图像 接触式传感器 模糊增强 直线拟合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]