摘要
通过分析大量试纸垫图片的颜色信息,建立直方图模型,提取了试纸垫图像的主色平均色调、主色平均饱和度、平均亮度、频度最高饱和度四个特征,并建立BP网络识别模型,实现了试纸的浓度的鉴别。提出的试纸垫识别方法模拟了人眼识别过程,提高了试纸识别效率与结果的客观性。
By analyzing the color information in a large number of test strip pad images,a histogram model was established first. Four features of average hue of dominant color,average saturation of dominant color,average brightness,highest frequen-cy saturation are then extracted from the strip pad images. The concentration identification of test strips is realized by using a BP network identification model. The proposed strip pad recognition method simulates the human eye identification process. The ex-periment results show it can improve efficiency and objectivity of strip pad recognition.
出处
《现代电子技术》
北大核心
2015年第9期43-46,共4页
Modern Electronics Technique
关键词
试纸识别
颜色特征
主色平均色调
直方图模型
BP网络模型
test strip recognition
color feature
average hue of dominant color
histogram model
BP network model
