Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment
暂无分享,去创建一个
J. Blasco | N. Aleixos | J. Gómez-Sanchis | D. Lorente | O. L. García-Navarrete | S. Cubero | J. Gómez-Sanchís | D. Lorente | S. Cubero | J. Blasco | N. Aleixos | O. García-Navarrete
[1] D. L. Peterson,et al. Performance of a System for Apple Surface Defect Identification in Near-infrared Images , 2005 .
[2] Y. R. Chen,et al. HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .
[3] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[4] Colm P. O'Donnell,et al. Comparison of hyperspectral imaging with conventional RGB imaging for quality evaluation of Agaricus bisporus mushrooms , 2011 .
[5] I. Jolliffe. Principal Component Analysis , 2002 .
[6] Da-Wen Sun,et al. Retrospective Shading Correction of Confocal Laser Scanning Microscopy Beef Images for Three-Dimensional Visualization , 2009 .
[7] J. Aguilera,et al. Computer Vision and Stereoscopy for Estimating Firmness in the Salmon (Salmon salar) Fillets , 2010 .
[8] Ning Wang,et al. Early detection of apple bruises on different background colors using hyperspectral imaging , 2008 .
[9] Ling Bei,et al. Acousto-optic tunable filters: fundamentals and applications as applied to chemical analysis techniques [review article] , 2004 .
[10] Colm P. O'Donnell,et al. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control , 2007 .
[11] A. Peirs,et al. Starch Index Determination of Apple Fruit by Means of a Hyperspectral near Infrared Reflectance Imaging System , 2003 .
[12] R. Lu,et al. An lctf-based multispectral imaging system for estimation of apple fruit firmness: Part I. Acquisition and characterization of scattering images , 2006 .
[13] Da-Wen Sun,et al. Computer vision technology for food quality evaluation , 2008 .
[14] Jon Atli Benediktsson,et al. Recent Advances in Techniques for Hyperspectral Image Processing , 2009 .
[15] Marino Uceda,et al. A sensor-software based on artificial neural network for the optimization of olive oil elaboration process , 2008 .
[16] R. Lu,et al. Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content , 2008 .
[17] Yukihiro Ozaki,et al. Near-infrared spectroscopy in food science and technology , 2007 .
[18] Luis Gómez-Chova,et al. Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins , 2008, ICIAR.
[19] Paul Geladi,et al. Calibration Standards and Image Calibration , 2007 .
[20] Colm P. O'Donnell,et al. Use of near Infrared Hyperspectral Imaging to Identify Water Matrix Co-Ordinates in Mushrooms (Agaricus Bisporus) Subjected to Mechanical Vibration , 2009 .
[21] F. Kianifard. Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods , 1994 .
[22] Hiroshi Okamoto,et al. Discrimination between potato tubers and clods by detecting the significant wavebands , 2008 .
[23] Frank Y. Shih,et al. Image Processing and Pattern Recognition: Fundamentals and Techniques , 2010 .
[24] Jorge L. C. Sanz,et al. Advances in Machine Vision , 1988, Springer Series in Perception Engineering.
[25] Peter J. A. Shaw,et al. Multivariate Statistics for the Environmental Sciences , 2003 .
[26] Moon S. Kim,et al. Development of a Simple Algorithm for the Detection of Chilling Injury in Cucumbers from Visible/Near-Infrared Hyperspectral Imaging , 2005, Applied spectroscopy.
[27] Avinash C. Kak,et al. PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Colm P. O'Donnell,et al. Identification of mushrooms subjected to freeze damage using hyperspectral imaging. , 2009 .
[29] Moon S. Kim,et al. Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations , 2004 .
[30] Alan M. Lefcourt,et al. A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection , 2004 .
[31] Clément Vigneault,et al. Spectral methods for measuring quality changes of fresh fruits and vegetables , 2008 .
[32] J. Gómez-Sanchís,et al. Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables , 2011 .
[33] Robert F. Ling,et al. Applied Multivariate Data Analysis, Vol. I: Regression and Experimental Design (J. D. Jobson) , 1992, SIAM Rev..
[34] E. Tollner,et al. Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderiacepacia)-infected onions , 2012 .
[35] R. Lu,et al. Hyperspectral Scattering for assessing Peach Fruit Firmness , 2006 .
[36] R. Lu,et al. DETECTION OF BRUISES ON APPLES USING NEAR – INFRARED HYPERSPECTRAL IMAGING , 2003 .
[37] A. Gowen,et al. Use of hyperspectral imaging for evaluation of the shelf-life of fresh white button mushrooms (Agaricus bisporus) stored in different packaging films , 2010 .
[38] Gerrit Polder,et al. Tomato sorting using independent component analysis on spectral images , 2003, Real Time Imaging.
[39] Ernest W. Tollner,et al. A liquid crystal tunable filter based shortwave infrared spectral imaging system: Design and integration , 2012 .
[40] Noel D.G. White,et al. Wheat Class Identification Using Thermal Imaging , 2010 .
[41] Stanley J. Kays,et al. Preharvest factors affecting appearance , 1999 .
[42] Bart Nicolai,et al. Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging , 2006 .
[43] Yud-Ren Chen,et al. Systematic approach for using hyperspectral imaging data to develop multispectral imagining systems: Detection of feces on apples , 2006 .
[44] Da-Wen Sun,et al. Hyperspectral imaging for food quality analysis and control , 2010 .
[45] Angelo Zanella,et al. Supervised Multivariate Analysis of Hyper-spectral NIR Images to Evaluate the Starch Index of Apples , 2009 .
[46] John C. Russ,et al. The Image Processing Handbook , 2016, Microscopy and Microanalysis.
[47] Nuria Aleixos,et al. Erratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables , 2011 .
[48] Ning Wang,et al. Studies on banana fruit quality and maturity stages using hyperspectral imaging , 2012 .
[49] Gustavo Camps-Valls,et al. Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits , 2008 .
[50] D. L. Peterson,et al. Identifying defects in images of rotating apples , 2005 .
[51] Renfu Lu,et al. Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content , 2011 .
[52] José Antonio Cayuela,et al. NIR prediction of fruit moisture, free acidity and oil content in intact olives. , 2009 .
[53] Yiqun Huang,et al. Applications of Artificial Neural Networks (ANNs) in Food Science , 2007, Critical reviews in food science and nutrition.
[54] G. Camps-Valls,et al. Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins , 2008 .
[55] Joost van de Weijer,et al. Color in Computer Vision , 2008 .
[56] Wynne W. Chin,et al. Handbook of Partial Least Squares , 2010 .
[57] Xuhui Zhao,et al. Development of a two-band spectral imaging system for real-time citrus canker detection , 2012 .
[58] P. Gass. Acousto-Optic Devices and Applications , 1991 .
[59] D. P. Ariana,et al. Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging. , 2010 .
[60] Daniel E. Guyer,et al. Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers , 2006, Computers and Electronics in Agriculture.
[61] Bart Nicolai,et al. Prediction of optimal cooking time for boiled potatoes by hyperspectral imaging , 2011 .
[62] M. Destain,et al. Development of a multi-spectral vision system for the detection of defects on apples , 2005 .
[63] Junichi Sugiyama,et al. NIR spectral imaging with discriminant analysis for detecting foreign materials among blueberries , 2010 .
[64] Wouter Saeys,et al. NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review , 2012, Food and Bioprocess Technology.
[65] Renfu Lu,et al. Original paper: Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles , 2010 .
[66] P Jancsók,et al. Stem-end/Calyx Identification on Apples using Contour Analysis in Multispectral Images , 2007 .
[67] Colm P. O'Donnell,et al. The potential of visible-near infrared hyperspectral imaging to discriminate between casing soil, enzymatic browning and undamaged tissue on mushroom (Agaricus bisporus) surfaces , 2011 .
[68] Pedro Melo-Pinto,et al. Determination of anthocyanin concentration in whole grape skins using hyperspectral imaging and adaptive boosting neural networks , 2011 .
[69] Daniel Q. Naiman. Pattern Recognition in Practice II , 1988 .
[70] Renfu Lu,et al. MODELING MULTISPECTRAL SCATTERING PROFILES FOR PREDICTION OF APPLE FRUIT FIRMNESS , 2005 .
[71] Jean-Michel Roger,et al. Comparison of multispectral indexes extracted from hyperspectral images for the assessment of fruit ripening , 2011 .
[72] Gerrit Polder,et al. Hyperspectral image analysis for measuring ripeness of tomatoes. , 2000 .
[73] Chein-I. Chang. Hyperspectral Imaging: Techniques for Spectral Detection and Classification , 2003 .
[74] Y. Yardimci,et al. Detection of contaminated hazelnuts and ground red chili pepper flakes by multispectral imaging , 2011 .
[75] José Blasco,et al. Multispectral inspection of citrus in real-time using machine vision and digital signal processors , 2002 .
[76] Da-Wen Sun,et al. Shape Analysis of Agricultural Products: A Review of Recent Research Advances and Potential Application to Computer Vision , 2011 .
[77] Margarita Ruiz-Altisent,et al. Monitoring of fresh-cut spinach leaves through a multispectral vision system , 2012 .
[78] Javier Calpe-Maravilla,et al. Design of a configurable multispectral imaging system based on an AOTF , 2011, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[79] Eddie Schrevens,et al. Use of Image Analysis to Investigate Human Quality Classification of Apples , 1997 .
[80] Jianwei Qin,et al. DETECTION OF PITS IN TART CHERRIES BY HYPERSPECTRAL TRANSMISSION IMAGING , 2005 .
[81] Devrim Unaya,et al. Automatic grading of Bicolored apples by multispectral machine vision , 2010 .
[82] M. Ngadi,et al. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry , 2007 .
[83] A. de Juan,et al. Multivariate image analysis: a review with applications , 2011 .
[84] Franco Pedreschi,et al. Color of Salmon Fillets By Computer Vision and Sensory Panel , 2010 .
[85] A. Peirs,et al. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .
[86] D. E. Chan,et al. Development of Hyperspectral Imaging Technique for the Detection of Chilling Injury in Cucumbers; Spectral and Image Analysis , 2006 .
[87] Shintaroh Ohashi,et al. Detection of external insect infestations in jujube fruit using hyperspectral reflectance imaging , 2011 .
[88] Jorge Chanona-Pérez,et al. Evaluation of Image Analysis Tools for Characterization of Sweet Bread Crumb Structure , 2012, Food and Bioprocess Technology.
[89] Filiberto Pla,et al. SmartSpectra: Applying multispectral imaging to industrial environments , 2005, Real Time Imaging.
[90] Paul Geladi,et al. Comprar Techniques and Applications of Hyperspectral Image Analysis | Paul Geladi | 9780470010860 | Wiley , 2007 .
[91] Nuria Aleixos,et al. Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks , 2013, Food and Bioprocess Technology.
[92] Michel Verleysen,et al. Nonlinear Dimensionality Reduction , 2021, Computer Vision.
[93] Da-Wen Sun. Infrared spectroscopy for food quality analysis and control , 2009 .
[94] Michael Egmont-Petersen,et al. Image processing with neural networks - a review , 2002, Pattern Recognit..
[95] José Blasco,et al. Citrus sorting by identification of the most common defects using multispectral computer vision , 2007 .
[96] Xiuqin Rao,et al. Detection of common defects on oranges using hyperspectral reflectance imaging , 2011 .
[97] Amy Tabb,et al. Identifying Apple Surface Defects Using Principal Components Analysis and Artificial Neural Networks , 2007 .
[98] G. Bearman,et al. Biological imaging spectroscopy , 2001 .
[99] H. Noh,et al. Integration of Hyperspectral Reflectance and Fluorescence Imaging for Assessing Apple Maturity , 2007 .
[100] Ning Wang,et al. Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks , 2009 .
[101] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[102] Paul Geladi,et al. Techniques and applications of hyperspectral image analysis , 2007 .
[103] José Blasco,et al. Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features , 2009 .
[104] G. Downey,et al. Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus) , 2008 .
[105] Hector Erives,et al. Automated registration of hyperspectral images for precision agriculture , 2005 .
[106] Josse De Baerdemaeker,et al. Combination of chemometric tools and image processing for bruise detection on apples , 2007 .
[107] Wang Yingkuan. Computer Vision Technology for Food Quality Evaluation , 2009 .
[108] Bim Prasad Shrestha,et al. Integrating multispectral reflectance and fluorescence imaging for defect detection on apples , 2006 .
[109] Gerrit Polder,et al. Measuring surface distribution of carotenes and chlorophyll in ripening tomatoes using imaging spectrometry , 2004 .
[110] G. McLachlan. Discriminant Analysis and Statistical Pattern Recognition , 1992 .
[111] Adolfo Martínez Usó,et al. Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation , 2005, IbPRIA.
[112] Zhao Jiewen,et al. Nondestructive measurement of sugar content of apple using hyperspectral imaging technique. , 2009 .
[113] Jiewen Zhao,et al. Detection of Bruise on Pear by Hyperspectral Imaging Sensor with Different Classification Algorithms , 2010 .
[114] M. Ruiz-Altisent,et al. Multispectral images of peach related to firmness and maturity at harvest , 2009 .
[115] Svante Wold,et al. PLS DISCRIMINANT PLOTS , 1986 .
[116] Da-Wen Sun,et al. Learning techniques used in computer vision for food quality evaluation: a review , 2006 .
[117] Josse De Baerdemaeker,et al. Bruise detection on ‘Jonagold’ apples using hyperspectral imaging , 2005 .
[118] Bernard Gosselin,et al. Original paper: Automatic grading of Bi-colored apples by multispectral machine vision , 2011 .
[119] Bernard Gosselin,et al. Automatic defect segmentation of ‘Jonagold’ apples on multi-spectral images: A comparative study , 2006 .
[120] Renfu Lu,et al. Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality , 2007 .
[121] Josse De Baerdemaeker,et al. Detecting Bruises on ‘Golden Delicious’ Apples using Hyperspectral Imaging with Multiple Wavebands , 2005 .
[122] Shaoyun Wang,et al. Infrared Spectroscopy for Food Quality Analysis and Control , 2010 .
[123] Javier Calpe-Maravilla,et al. Analysis of acousto-optic tunable filter performance for imaging applications , 2010 .
[124] José Blasco,et al. Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques , 2012, Expert Syst. Appl..
[125] I. Chang. I. Acoustooptic Devices and Applications , 1976, IEEE Transactions on Sonics and Ultrasonics.
[126] J. Qin,et al. Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence , 2009 .
[127] Shiv O. Prasher,et al. Application of Hyperspectral Technique for Color Classification Avocados Subjected to Different Treatments , 2009, Food and Bioprocess Technology.