江西农业大学学报2011，Vol.33Issue(3)：573-577,5.
利用高光谱图像技术检测鸡胴体内部粪便污染物
Detection of Internal Fecal Contaminants of Chicken Carcasses Using Hyperspectral Imaging Technology
摘要
Abstract
Using chicken carcasses as the research subject, the detection method for internal fecal contaminants of chicken carcasses based on hyperspectral imaging technology was investigated. Firstly, hyper-spectral images of chicken carcasses from 400 nm to 1 000 nm were acquired. Secondly, the principal component images were obtained by the principal component analysis (PCA), three characteristic wavelengths (518.59, 562.64 and 700.67 nm) were found according to the first principal component (PCI) image, and 700.67 nm wavelength images were selected as the detection images of the internal fecal contaminants of chicken carcasses. Lastly, the masks were constructed to eliminate the the background noise of characteristic images, and the fecal contaminants were extracted by the threshold segmentation and morphological imaging processing. The experimental results showed that the total accurate rate of the detection was 93% using 100 samples of chicken carcasses. The principal component analysis and hyperspectral imaging technology can meet the requirement for detecting internal fecal contaminants of chicken carcasses' which provides a theoretical basis for the on-line rapid detection of internal fecal contaminants of chicken carcasses.关键词
高光谱图像/粪便污染物/鸡胴体/检测Key words
hyperspectral imaging/fecal contaminants/chicken carcasses/detection分类
农业科技引用本文复制引用
赵进辉,涂冬成,欧阳静怡,刘木华,沈杰..利用高光谱图像技术检测鸡胴体内部粪便污染物[J].江西农业大学学报,2011,33(3):573-577,5.基金项目
国家高技术研究与发展技术(863计划)资助项目(2008从10Z209)和江西农业大学青年科学基金资助项目(2954) （863计划）
