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Proceedings Paper

3D surface scan of biological samples with a Push-broom Imaging Spectrometer
Author(s): Haibo Yao; Russell Kincaid; Zuzana Hruska; Robert L. Brown; Deepak Bhatnagar; Thomas E. Cleveland
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Paper Abstract

The food industry is always on the lookout for sensing technologies for rapid and nondestructive inspection of food products. Hyperspectral imaging technology integrates both imaging and spectroscopy into unique imaging sensors. Its application for food safety and quality inspection has made significant progress in recent years. Specifically, hyperspectral imaging has shown its potential for surface contamination detection in many food related applications. Most existing hyperspectral imaging systems use pushbroom scanning which is generally used for flat surface inspection. In some applications it is desirable to be able to acquire hyperspectral images on circular objects such as corn ears, apples, and cucumbers. Past research describes inspection systems that examine all surfaces of individual objects. Most of these systems did not employ hyperspectral imaging. These systems typically utilized a roller to rotate an object, such as an apple. During apple rotation, the camera took multiple images in order to cover the complete surface of the apple. The acquired image data lacked the spectral component present in a hyperspectral image. This paper discusses the development of a hyperspectral imaging system for a 3-D surface scan of biological samples. The new instrument is based on a pushbroom hyperspectral line scanner using a rotational stage to turn the sample. The system is suitable for whole surface hyperspectral imaging of circular objects. In addition to its value to the food industry, the system could be useful for other applications involving 3-D surface inspection.

Paper Details

Date Published: 30 August 2013
PDF: 7 pages
Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 891027 (30 August 2013); doi: 10.1117/12.2035055
Show Author Affiliations
Haibo Yao, Mississippi State Univ. (United States)
Russell Kincaid, Mississippi State Univ. (United States)
Zuzana Hruska, Mississippi State Univ. (United States)
Robert L. Brown, Agricultural Research Service (United States)
Deepak Bhatnagar, Agricultural Research Service (United States)
Thomas E. Cleveland, Agricultural Research Service (United States)

Published in SPIE Proceedings Vol. 8910:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications
Lifu Zhang; Jianfeng Yang, Editor(s)

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