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作 者:Zhu Zhihui Liu Ting Xie Dejun Wang Qiaohua Ma Meihu
机构地区:[1]College of Engineering,Huazhong Agricultural University,Wuhan 430070,China [2]National R&D Center for Egg Processing,College of Food Science and Technology,Huazhong Agricultural University,Wuhan 430070,China
出 处:《International Journal of Agricultural and Biological Engineering》2015年第4期69-76,共8页国际农业与生物工程学报(英文)
基 金:This work was supported by Special Fund for Agro-scientific Research in the Public Interest(Grant No.201303084)。
摘 要:In order to quickly distinguish infertile eggs from fertile eggs,the hyperspectral imaging technology consisting of imaging and spectral information was used for detecting the fertile information of eggs.Before hatching eggs were incubated,a hyperspectral imaging system(wavelength between 400 to 1000 nm)was used to acquire the images one-by-one manually.The characteristic information of ratios of length to short axis,elongation,roundness and the ratios of the yolk area to the whole area was extracted based on the images.The normalization method was used as the spectral data preprocessing,and then 155 spectral characteristic variables were extracted from 520 nm waveband through the correlation coefficient method.Principal component analysis(PCA)method was adopted to reduce the dimensions of image-spectrum fusion information;the top six principal components were extracted.Support vector machine(SVM)method was used to establish classification of fertile and infertile eggs models,which are based on image,spectrum and image-spectrum fusion information respectively.The accuracy rates of the SVM models were 84.00%,90.00%and 93.00%respectively.The experimental results show that the model based on image-spectrum fusion information technology is superior to the single information model.Hyperspectral transmission imaging technology is effective and feasible to detect the fertile hatching eggs before incubation.
关 键 词:hyperspectral image hatching eggs information fusion nondestructive detection
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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