Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging: Part I. Development of a prototype

被引:33
作者
Ariana D.P. [1 ]
Lu R. [1 ]
机构
[1] Sugarbeet and Bean Research Unit, USDA Agricultural Research Service, Michigan State University, East Lansing, MI 48824
来源
Sensing and Instrumentation for Food Quality and Safety | 2008年 / 2卷 / 3期
关键词
Defect detection; External quality; Grading; Hyperspectral imaging; Internal quality; Pickling cucumbers;
D O I
10.1007/s11694-008-9057-x
中图分类号
学科分类号
摘要
This article reports on the development of a hyperspectral imaging prototype for online evaluation of external and internal quality of pickling cucumbers. The prototype consisted of a two-lane round belt conveyor, two illumination sources (one for reflectance and one for transmittance), and a hyperspectral imaging unit. It had a novel feature of simultaneous imaging under reflectance mode in the visible region (400-675 nm) and transmittance mode for the red and near-infrared region (Red-NIR) (675-1000 nm). Reflectance information from the visible region was intended for evaluating the external characteristics of cucumbers such as skin color, whereas transmittance information from Red-NIR was used for internal defect detection (i.e., hollow center). Additional features of the prototype included simultaneous acquisition of reflectance and transmittance from calibration references that were installed in the system, to provide real-time, continuous corrections of individual hyperspectral images from each sample. Methods and algorithms were developed of estimating cucumber fruit size and correcting the effect of fruit size on transmittance measurements. The system was calibrated and evaluated for detecting the color, size, and internal defect of pickling cucumbers. © Springer Science+Business Media, LLC 2008.
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收藏
页码:144 / 151
页数:7
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