Rapid machine vision method for the detection of insects and other particulate bio-contaminants of bulk grain in transit

被引:41
作者
Ridgway, C [1 ]
Davies, ER
Chambers, J
Mason, DR
Bateman, M
机构
[1] Cent Sci Lab, York YO41 1LZ, N Yorkshire, England
[2] Univ London, Dept Phys, Machine Vis Grp, Egham TW20 0EX, Surrey, England
关键词
D O I
10.1006/bioe.2002.0096
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
A machine vision method has been developed for the detection of adult beetles, rodent droppings and ergot in. harvested wheat. Samples were presented as a monolayer of around 25 generally non-touching but randomly oriented objects. Detection rates for artificially prepared samples ranged from 87% for ergot to 100% for adult Oryzaephilus surinamensis (saw-toothed grain beetle). When applied to two commercial sa less containing several insect species, detection rates were 89 and 96%. The rate of false positives arising from samples of wheat containing permitted admixture-only was low. The speed of the integrated algorithm package for, detection of all three contaminant types approaches that required to scan 3 kg grain in just 3 min (the throughput required by the UK trade). (C) 2002 Silsoe Research Institute. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:21 / 30
页数:10
相关论文
共 9 条
[1]  
CHAMBERS J, 1998, 156 HGCA
[2]  
Davies E. R., 1998, C NONL SIGN IM PROC, V12
[3]  
Davies E. R., 1998, P EUSIPCO 98 RHOD GR, P2561
[4]   Vectorial strategy for designing line segment detectors with high orientation accuracy [J].
Davies, ER .
ELECTRONICS LETTERS, 1997, 33 (21) :1775-1777
[5]  
DAVIES ER, 1997, MACH VISION THEORY A
[6]  
Nair M, 1998, CAN AGR ENG, V40, P293
[7]  
WILKIN DR, 1993, 82 HGCA
[8]  
ZAYAS I, 1989, CEREAL CHEM, V66, P233
[9]  
Zayas IY, 1998, T ASAE, V41, P883, DOI 10.13031/2013.17206