Recent developments and applications of image features for food quality evaluation and inspection – a review
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Da-Wen Sun | Chaoxin Zheng | Liyun Zheng | Da‐Wen Sun | C. Zheng | L. Zheng
[1] Kit L. Yam,et al. A simple digital imaging method for measuring and analyzing color of food surfaces , 2004 .
[2] James N. Ianelli,et al. Estimating the size selectivity and catching efficiency of a survey bottom trawl for thornyheads, Sebastolobus spp. using a towed video camera sled , 2004 .
[3] Da-Wen Sun,et al. CLASSIFICATION OF TENDERNESS OF LARGE COOKED BEEF JOINTS USING WAVELET AND GABOR TEXTURAL FEATURES , 2006 .
[4] Vincent Leemans,et al. Defects segmentation on 'Golden Delicious' apples by using colour machine vision , 1998 .
[5] Tom C. Pearson. Machine Vision System for Automated Detection of Stained Pistachio Nuts , 1996 .
[6] X. Gao,et al. SEM IMAGE PROCESSING FOR FOOD STRUCTURE ANALYSIS , 1997 .
[7] Ralph Roskies,et al. Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.
[8] Mauro Barni,et al. Colour-based detection of defects on chicken meat , 1997, Image Vis. Comput..
[9] Donald G. Mercer,et al. Determination of acceptability and shelf life of ready-to-use lettuce by digital image analysis , 2004 .
[10] D. V. Byrne,et al. Evaluation of pork colour: prediction of visual sensory quality of meat from instrumental and computer vision methods of colour analysis. , 2003, Meat science.
[11] Kazuhiko Shiranita,et al. Determination of meat quality by texture analysis , 1998, Pattern Recognit. Lett..
[12] H. Schwarcz,et al. MEASUREMENT OF PARTICLE SHAPE BY FOURIER ANALYSIS , 1969 .
[13] H. Ni,et al. Image processing algorithm for cheese shred evaluation , 2004 .
[14] J. M. Bunn,et al. Tomato Maturity Evaluation Using Color Image Analysis , 1995 .
[15] Anjan Sarkar,et al. An identification approach for 2-D autoregressive models in describing textures , 1991, CVGIP Graph. Model. Image Process..
[16] I. Paulus,et al. Shape Characterization of New Apple Cultivars by Fourier Expansion of Digitized Images , 1999 .
[17] Michael J. Delwiche,et al. A Color Vision System for Peach Grading , 1988 .
[18] E. R. Davies,et al. The use of convolution operators for detecting contaminants in food images , 1996, Pattern Recognit..
[19] Chaoxin Zheng,et al. Correlating colour to moisture content of large cooked beef joints by computer vision , 2006 .
[20] B. Nicolai,et al. Use of laser‐scattering imaging to study tomato‐fruit quality in relation to acoustic and compression measurements , 2000 .
[21] J. Tan,et al. Beef Marbling and Color Score Determination by Image Processing , 1996 .
[22] Cristina L. M. Silva,et al. Quantification of microstructural changes during first stage air drying of grape tissue , 2004 .
[23] J. Tan,et al. Classification of tough and tender beef by image texture analysis. , 2001, Meat science.
[24] Anil K. Jain. Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.
[25] D. Garrick,et al. Quantitative evaluation of apple (Malus × domestica Borkh.) fruit shape by principal component analysis of Fourier descriptors , 2000, Euphytica.
[26] X. Gao,et al. Analysis of expanded-food texture by image processing : Part II : Mechanical properties , 1996 .
[27] Da-Wen Sun,et al. Shape extraction and classification of pizza base using computer vision , 2004 .
[28] Cheng-Jin Du,et al. CORRELATING SHRINKAGE WITH YIELD, WATER CONTENT AND TEXTURE OF PORK HAM BY COMPUTER VISION , 2005 .
[29] Vincent Leemans,et al. A real-time grading method of apples based on features extracted from defects , 2004 .
[30] L.M.M. Tijskens,et al. Effects of storage temperature and fruit ripening on firmness of fresh cut tomatoes , 2005 .
[31] M. Z. Abdullah,et al. Stepwise Discriminant Analysis for Colour Grading of Oil Palm Using Machine Vision System , 2001 .
[32] Y. J. Han,et al. Frequency Domain Image Analysis for Detecting Stress Cracks in Corn Kernels , 1996 .
[33] Vincent Leemans,et al. Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting , 2003 .
[34] Dwight D. Day,et al. Fourier-Based Texture Measures with Application to the Analysis of the Cell Structure of Baked Products , 1996, Digit. Signal Process..
[35] Marvin R Paulsen,et al. Real-Time Detection of Colour and Surface Defects of Maize Kernels Using Machine Vision , 1994 .
[36] J. Tan,et al. Determination of animal skeletal maturity by image processing. , 2003, Meat science.
[37] William G. Wee,et al. Neighboring gray level dependence matrix for texture classification , 1982, Comput. Graph. Image Process..
[38] Akio Matsuzaki,et al. Two-dimensional image analysis of the shape of rice and its application to separating varieties , 1996 .
[39] Digvir S. Jayas,et al. CLASSIFICATION OF CEREAL GRAINS USING MACHINE VISION: III. TEXTURE MODELS , 2000 .
[40] Cheng-Jin Du,et al. Comparison of three methods for classification of pizza topping using different colour space transformations , 2005 .
[41] Royann J. Petrell,et al. Accuracy of a machine-vision pellet detection system , 2003 .
[42] J Ophir,et al. The use of elastography to measure quality characteristics of pork semimembranosus muscle. , 1999, Meat science.
[43] Bosoon Park,et al. Co-occurrence matrix texture features of multi-spectral images on poultry carcasses , 2001 .
[44] Fabienne Guillon,et al. Mechanical breakdown and cell wall structure of mealy tomato pericarp tissue , 2005 .
[45] A. D. Whittaker,et al. Fat Estimation in Beef Ultrasound Images Using Texture and Adaptive Logic Networks , 1994 .
[46] Graeme D. Coles,et al. Estimating potato crisp colour variability using image analysis and a quick visual method , 1993, Potato Research.
[47] R. B. Dodd,et al. Nondestructive detection of split-pit peaches. , 1992 .
[48] J. Blasco,et al. Comparison of three algorithms in the classification of table olives by means of computer vision , 2004 .
[49] Cheng-Jin Du,et al. Estimating the surface area and volume of ellipsoidal ham using computer vision , 2006 .
[50] Kurt C. Lawrence,et al. Discriminant analysis of dual-wavelength spectral images for classifying poultry carcasses , 2002 .
[51] S. Shouche,et al. Shape analysis of grains of Indian wheat varieties , 2001 .
[52] M. Destain,et al. Development of a multi-spectral vision system for the detection of defects on apples , 2005 .
[53] Gerhard Jahns,et al. Measuring image analysis attributes and modelling fuzzy consumer aspects for tomato quality grading , 2001 .
[54] D. Mery,et al. Segmentation of colour food images using a robust algorithm , 2005 .
[55] Boaz Zion,et al. Sorting fish by computer vision , 1999 .
[56] Samir Majumdar,et al. Classification of cereal grains using machine vision , 1997 .
[57] J. Lu,et al. Evaluation of pork color by using computer vision. , 2000, Meat science.
[58] Da-Wen Sun,et al. Recent applications of image texture for evaluation of food qualities—a review , 2006 .
[59] N. S. Visen,et al. Cereal Grain and Dockage Identification using Machine Vision , 2003 .
[60] Da-Wen Sun,et al. Evaluation of the functional properties of Cheddar Cheese using a computer vision method , 2001 .
[61] Jean-Marie Bonny,et al. Ex‐vivo magnetic resonance image texture analysis can discriminate genotypic origin in bovine meat , 2005 .
[62] R. R. Wolfe,et al. Feature Extraction Techniques for Sorting Tomatoes by Computer Vision , 1985 .
[63] Gerrit Polder,et al. Accurate Measurement of Size and Shape of Cucumber Fruits with Image Analysis , 1998 .
[64] Benno Kunz,et al. Modeling the respiration of Pseudomonas fluorescens on solid-state lettuce-juice agar , 2006 .
[65] J. Macgregor,et al. Image texture analysis: methods and comparisons , 2004 .
[66] Rangasami L. Kashyap,et al. Characterization and estimation of two-dimensional ARMA models , 1984, IEEE Trans. Inf. Theory.
[67] A. Davenel,et al. Determination of the lean meat percentage of pig carcasses using magnetic resonance imaging. , 2005, Meat science.
[68] M. Knoche,et al. Analysing fruit shape in sweet cherry (Prunus avium L.) , 2002 .
[69] Christoph Palm,et al. Color texture classification by integrative Co-occurrence matrices , 2004, Pattern Recognit..
[70] Jinglu Tan,et al. Evaluating expanded-food sensory properties by image analysis , 1999 .
[71] Da-Wen Sun,et al. Pizza quality evaluation using computer vision: Part 2. Pizza topping analysis , 2003 .
[72] S. Limsiroratana,et al. On image analysis for harvesting tropical fruits , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..
[73] John Furst,et al. Microstructural changes of starch in cooked wheat grains as affected by cooking temperatures and times , 2006 .
[74] Søren G. H. Erbou,et al. Salt distribution in dry-cured ham measured by computed tomography and image analysis. , 2005, Meat science.
[75] Fred A. Payne,et al. COLOR AND DEFECT SORTING OF BELL PEPPERS USING MACHINE VISION , 1990 .
[76] A. Ghazanfari,et al. Classification of Pistachio Nuts Using a String Matching Technique , 1996 .
[77] Da-Wen Sun,et al. Pizza sauce spread classification using colour vision and support vector machines , 2005 .
[78] Noel D.G. White,et al. Comparison of a Neural Network and a Non-parametric Classifier for Grain Kernel Identification , 2003 .
[79] J. Tan,et al. ANALYSIS of EXPANDED-FOOD TEXTURE BY IMAGE PROCESSING PART I: GEOMETRIC PROPERTIES , 1996 .
[80] Philippe Loisel,et al. Quality traits of brown trouts (Salmo trutta) cutlets described by automated color image analysis , 2004 .
[81] Da-Wen Sun,et al. Recent developments in the applications of image processing techniques for food quality evaluation , 2004 .
[82] T. C. Pearson,et al. Machine Vision Detection of Early Split Pistachio Nuts , 1996 .
[83] Anette Kistrup Thybo,et al. Prediction of sensory texture quality attributes of cooked potatoes by NMR-imaging (MRI) of raw potatoes in combination with different image analysis methods , 2004 .
[84] D. L. Peterson,et al. Identifying defects in images of rotating apples , 2005 .
[85] Rae-Hong Park,et al. Texture periodicity detection: features, properties, and comparisons , 1998, IEEE Trans. Syst. Man Cybern. Part A.
[86] Robert King,et al. Textural features corresponding to textural properties , 1989, IEEE Trans. Syst. Man Cybern..
[87] Da-Wen Sun,et al. Pizza quality evaluation using computer vision: Part 1. Pizza base and sauce spread , 2003 .
[88] Mary M. Galloway,et al. Texture analysis using gray level run lengths , 1974 .
[89] Filiberto Pla,et al. A thinning-based algorithm to characterize fruit stems from profile images , 1995 .
[90] H. Heymann,et al. Image texture features as indicators of beef tenderness. , 1999, Meat science.
[91] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[92] Meegalla R. Chandraratne,et al. Prediction of lamb tenderness using image surface texture features , 2006 .
[93] Haruhiko Murase,et al. Machine vision based quality evaluation of Iyokan orange fruit using neural networks , 2000 .
[94] Benoit B. Mandelbrot,et al. Fractal Geometry of Nature , 1984 .
[95] Chaoxin Zheng,et al. Estimating shrinkage of large cooked beef joints during air-blast cooling by computer vision , 2006 .
[96] Alejandro G. Marangoni,et al. Monitoring and quantifying of oil migration in cocoa butter using a flatbed scanner and fluorescence light microscopy , 2005 .
[97] Pierre Loonis,et al. A novel colorimetry analysis used to compare different drying fish processes , 2004 .
[98] Chaoxin Zheng,et al. Predicting shrinkage of ellipsoid beef joints as affected by water immersion cooking using image analysis and neural network , 2007 .
[99] Manjit K. Misra,et al. Evaluations of fractal geometry and invariant moments for shape classification of corn germplasm , 1998 .
[100] Noel D.G. White,et al. Identification of wheat kernels damaged by the red flour beetle using X-ray images , 2004 .
[101] José Miguel Aguilera,et al. An application of image analysis to dehydration of apple discs , 2005 .
[102] Achim Kohler,et al. Sensory qualities of whole wheat pan bread : influence of farming system, milling and baking technique , 2004 .
[103] David L. MacAdam,et al. Sources of Color Science , 1972 .
[104] Pablo García Rodríguez,et al. Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics , 2005, Comput. Vis. Image Underst..
[105] Olivier Basset,et al. Application of texture image analysis for the classification of bovine meat , 2000 .
[106] A. D. Whittaker,et al. WAVELET TEXTURAL FEATURES FROM ULTRASONIC ELASTOGRAMS FOR MEAT QUALITY , 1997 .
[107] José Miguel Aguilera,et al. Image analysis of changes in surface color of chocolate , 2005 .
[108] Dana H. Ballard,et al. Computer Vision , 1982 .
[109] Milan Hájek,et al. MRI ‘texture’ analysis of MR images of apples during ripening and storage , 2003 .
[110] F. Teuscher,et al. Application of computer image analysis to measure pork marbling characteristics. , 2005, Meat science.
[111] Thomas Young,et al. II. The Bakerian Lecture. On the theory of light and colours , 1802, Philosophical Transactions of the Royal Society of London.
[112] Niklas Lorén,et al. Measuring shapes for application in complex food structures , 2006 .
[113] Stephen J. Symons,et al. Developments in the use of image analysis for the assessment of oriental noodle appearance and colour , 2004 .
[114] M. Z. Abdullah,et al. Automated inspection system for colour and shape grading of starfruit (Averrhoa carambola L.) using machine vision sensor , 2005 .
[115] J. Tan,et al. Analysis of image-based measurements and USDA characteristics as predictors of beef lean yield. , 2004, Meat science.
[116] José Blasco,et al. On-line Fusion of Colour Camera and Spectrophotometer for Sugar Content Prediction of Apples , 1999 .
[117] M. J. Delwiche,et al. Machine vision methods for defect sorting stonefruit , 1994 .
[118] José Miguel Aguilera,et al. Description of food surfaces and microstructural changes using fractal image texture analysis , 2002 .
[119] Jinglu Tan,et al. Meat quality evaluation by computer vision , 2004 .
[120] Boaz Zion,et al. In-vivo fish sorting by computer vision , 2000 .
[121] Suwanee Boonmung,et al. Physical Properties Analysis of Mango using Computer Vision , 2005 .
[122] Iwona Konopka,et al. Lipids and carotenoids of wheat grain and flour and attempt of correlating them with digital image analysis of kernel surface and cross-sections , 2004 .
[123] Da-Wen Sun,et al. Melting characteristics of cheese: analysis of effect of cheese dimensions using computer vision techniques , 2002 .
[124] G. Dalen. Determination of the size distribution and percentage of broken kernels of rice using flatbed scanning and image analysis , 2004 .
[125] Daniel E. Guyer,et al. APPLE SORTING USING ARTIFICIAL NEURAL NETWORKS AND SPECTRAL IMAGING , 2002 .