Application of Near-Infrared Hyperspectral Imaging for Detection of External Insect Infestations on Jujube Fruit

A hyperspectral imaging system has been built for detecting external insect damage and acquiring reflectance images from jujubes in the near-infrared region of 900–1700 nm. Spectral information was extracted from each jujube, and six optimal wavelengths (987, 1028, 1160, 1231, 1285, and 1464 nm) were obtained using principal component analysis. The first principal component images (PC-1) using the selected six wavelengths were obtained for further image processing. The detection algorithm was then developed based on principal component analysis and two-band ratio (R1160/R1464) coupled with image subtraction algorithm (R1160-R1464). An identification accuracy of 93.1% for insect-infested jujubes and 100% classification rate for the intact ones were achieved. The results of this research demonstrated that it is feasible to discriminate insect-infested jujubes from intact jujubes using the near-infrared hyperspectral imaging technology.

[1]  Moon S. Kim,et al.  Detection of Fecal Contamination on Cantaloupes Using Hyperspectral Fluorescence Imagery , 2005 .

[2]  Shintaroh Ohashi,et al.  Nondestructive detection of internal insect infestation in jujubes using visible and near-infrared spectroscopy , 2011 .

[3]  Noel D.G. White,et al.  Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging , 2010 .

[4]  Paul R. Weckler,et al.  Non-destructive quality determination of pecans using soft X-rays , 2007 .

[5]  Shintaroh Ohashi,et al.  Nondestructive evaluation of jujube quality by visible and near-infrared spectroscopy , 2011 .

[6]  R. Lu,et al.  DETECTION OF BRUISES ON APPLES USING NEAR – INFRARED HYPERSPECTRAL IMAGING , 2003 .

[7]  Aiguo Ouyang,et al.  Nondestructive measurement of soluble solid content of navel orange fruit by visible-NIR spectrometric technique with PLSR and PCA-BPNN. , 2010 .

[8]  Moon S. Kim,et al.  Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations , 2004 .

[9]  Daniel E. Guyer,et al.  Comparison of transmittance and reflectance to detect insect infestation in Montmorency tart cherry , 2008 .

[10]  Ning Wang,et al.  Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks , 2009 .

[11]  Daniel E. Guyer,et al.  Determining optimal wavebands using genetic algorithm for detection of internal insect infestation in tart cherry , 2008 .

[12]  J. A. Throopa,et al.  Quality evaluation of apples based on surface defects : development of an automated inspection system , 2005 .

[13]  H.M. Wechsler,et al.  Digital image processing, 2nd ed. , 1981, Proceedings of the IEEE.

[14]  Y. R. Chen,et al.  Detection of Defects on Selected Apple Cultivars Using Hyperspectral and Multispectral Image Analysis , 2002 .

[15]  Zou Xiaobo,et al.  In-line detection of apple defects using three color cameras system , 2010 .

[16]  Bart Nicolai,et al.  Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging , 2006 .

[17]  Min Zhang,et al.  Detection of insect-damaged vegetable soybeans using hyperspectral transmittance image , 2013 .

[18]  Josse De Baerdemaeker,et al.  Detecting Bruises on ‘Golden Delicious’ Apples using Hyperspectral Imaging with Multiple Wavebands , 2005 .

[19]  Josse De Baerdemaeker,et al.  Combination of chemometric tools and image processing for bruise detection on apples , 2007 .

[20]  B. Nicolai,et al.  NON-DESTRUCTIVE MEASUREMENT OF ACIDITY, SOLUBLE SOLIDS, AND FIRMNESS OF JONAGOLD APPLES USING NIR-SPECTROSCOPY , 1998 .

[21]  Yang Tao,et al.  Gabor feature-based apple quality inspection using kernel principal component analysis , 2007 .

[22]  Riccardo Leardi,et al.  Multivariate calibration of mango firmness using vis/NIR spectroscopy and acoustic impulse method. , 2009 .

[23]  D. Bulanon,et al.  Spectral reflectance characteristics of citrus canker and other peel conditions of grapefruit. , 2009 .

[24]  Peeyush Soni,et al.  Development of an automatic grading machine for oil palm fresh fruits bunches (FFBs) based on machine vision , 2013 .

[25]  Baohua Zhang,et al.  A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy , 2013 .

[26]  J. Qin,et al.  Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence , 2009 .

[27]  T. F. Schatzki,et al.  APPLE WATERCORE SORTING SYSTEM USING X-RAY IMAGERY: I. ALGORITHM DEVELOPMENT , 2000 .

[28]  Gamal ElMasry,et al.  Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef , 2012 .

[29]  Daniel E. Guyer,et al.  Detecting internal insect infestation in tart cherry using transmittance spectroscopy , 2008 .