Original paper: Automatic grading of Bi-colored apples by multispectral machine vision
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Bernard Gosselin | Olivier Debeir | Devrim Unay | Marie-France Destain | Olivier Kleynen | Vincent Leemans | B. Gosselin | M. Destain | V. Leemans | O. Debeir | Olivier Kleynen | D. Unay
[1] David G. Stork,et al. Pattern Classification , 1973 .
[2] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[3] Bernard C. Jiang,et al. Machine vision-based gray relational theory applied to IC marking inspection , 2002 .
[4] A. E. Maxwell. Comparing the Classification of Subjects by Two Independent Judges , 1970, British Journal of Psychiatry.
[5] R. G. Diener,et al. Using an X-ray image scan to sort bruised apples. , 1970 .
[6] John Bibby,et al. The Analysis of Contingency Tables , 1978 .
[7] Stephen V. Stehman,et al. Selecting and interpreting measures of thematic classification accuracy , 1997 .
[8] Bernard Gosselin,et al. Stem and calyx recognition on ‘Jonagold’ apples by pattern recognition , 2007 .
[9] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[10] Vincent Leemans,et al. A real-time grading method of apples based on features extracted from defects , 2004 .
[11] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[12] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[13] Zou Xiaobo,et al. In-line detection of apple defects using three color cameras system , 2010 .
[14] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[15] James A. Throop,et al. Quality evaluation of apples based on surface defects: development of an automated inspection system , 2005 .
[16] Da-Wen Sun,et al. Hyperspectral imaging for food quality analysis and control , 2010 .
[17] F. Sevila,et al. Automatic detection of surface defects on fruit by using a vision system , 1988 .
[18] Bernard Gosselin,et al. Automatic defect segmentation of ‘Jonagold’ apples on multi-spectral images: A comparative study , 2006 .
[19] Vincent Leemans,et al. Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting , 2003 .
[20] Ming-Kuei Hu,et al. Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.
[21] Hamid R. Arabnia,et al. Apple classification based on surface bruises using image processing and neural networks , 2002 .
[22] R. Lu,et al. Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content , 2008 .
[23] Vincent Leemans,et al. Regular ArticleAE—Automation and Emerging Technologies: On-line Fruit Grading according to their External Quality using Machine Vision , 2002 .
[24] Daniel E. Guyer,et al. Comparison of Artificial Neural Networks and Statistical Classifiers in Apple Sorting using Textural Features , 2004 .
[25] C. H. Chen,et al. Handbook of Pattern Recognition and Computer Vision , 1993 .
[26] Yang Tao,et al. Building a rule-based machine-vision system for defect inspection on apple sorting and packing lines , 1999 .
[27] Renfu Lu,et al. Detection of bruises on apples using near-infrared hyperspectral imaging , 2003 .
[28] J. A. Throop,et al. OPTICAL DETECTION OF BRUISES AND EARLY FROST DAMAGE ON APPLES , 1991 .
[29] T. G. Crowe,et al. Real-time Defect Detection in Fruit — Part I: Design Concepts and Development of Prototype Hardware , 1996 .
[30] Bim Prasad Shrestha,et al. Integrating multispectral reflectance and fluorescence imaging for defect detection on apples , 2006 .
[31] Xianghua Xie,et al. Colour tonality inspection using eigenspace features , 2005, Machine Vision and Applications.
[32] M. Destain,et al. Development of a multi-spectral vision system for the detection of defects on apples , 2005 .
[33] Thomas G. Dietterich. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.
[34] Moon S. Kim,et al. Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations , 2004 .
[35] José Blasco,et al. Machine Vision System for Automatic Quality Grading of Fruit , 2003 .
[36] Nuria Aleixos,et al. Erratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables , 2011 .
[37] A. Stuart. A TEST FOR HOMOGENEITY OF THE MARGINAL DISTRIBUTIONS IN A TWO-WAY CLASSIFICATION , 1955 .
[38] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[39] U. M. Peiper,et al. A Spectrophotometric Method for Detecting Surface Bruises on "Golden Delicious" Apples , 1994 .
[40] Josef Kittler,et al. Floating search methods for feature selection with nonmonotonic criterion functions , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).
[41] Ning Wang,et al. Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks , 2009 .
[42] David G. Stork,et al. Pattern classification, 2nd Edition , 2000 .
[43] Anil K. Jain,et al. Texture Analysis , 2018, Handbook of Image Processing and Computer Vision.
[44] Yang Tao,et al. NIR/MIR Dual-Sensor Machine Vision System for Online Apple Stem-End/Calyx Recognition , 2003 .