农业机械学报2012，Vol.43Issue(7)：141-144,4.DOI:10.6041/j.issn.1000-1298.2012.07.026
肉骨粉显微近红外标准光谱库的快速构建方法
Rapid Construction of Near-infrared Microscopic Spectra Database for Identification of Meat and Bone Meal
摘要
Abstract
A new strategy was demonstrated to establish typical spectra database. For the study, bone fragments of three different species MBM were analyzed on near-infrared microscopic imaging system, and both visible and near-infrared images were acquired at the same size. To extract and mark the position of every single bone fragment in visible image, a graphical user-friendly interface, based on marker-controlled watershed segmentation method, written in Matlab for extracting and marking bone fragments has been developed. The recognition ratio was 96.4% . By the position information in visible image, near-infrared microscopic imaging data was decompounded to spectrum of each bone fragment. Next, typical spectra were selected by the multivariate 'distances'-Global Hood (GH) & Neighbor Hood (NH) statistics.关键词
肉骨粉/快速检测/显微近红外成像/标准光谱库/图像分割Key words
Meat and bone meal/ Rapid determination/ Near-infrared microscopic imaging/ Spectra database/ Image segmentation分类
化学化工引用本文复制引用
姜训鹏,杨增玲,刘贤,韩鲁佳..肉骨粉显微近红外标准光谱库的快速构建方法[J].农业机械学报,2012,43(7):141-144,4.基金项目
国家自然科学基金资助项目(31072062)和国际科技合作项目(2010DFA34540) （31072062）
