Applications of Hyperspectral Imaging in Chicken Meat Safety and Quality Detection and Evaluation: A Review

Currently, the issue of food safety and quality is a great public concern. In order to satisfy the demands of consumers and obtain superior food qualities, non-destructive and fast methods are required for quality evaluation. As one of these methods, hyperspectral imaging (HSI) technique has emerged as a smart and promising analytical tool for quality evaluation purposes and has attracted much interest in non-destructive analysis of different food products. With the main advantage of combining both spectroscopy technique and imaging technique, HSI technique shows a convinced attitude to detect and evaluate chicken meat quality objectively. Moreover, developing a quality evaluation system based on HSI technology would bring economic benefits to the chicken meat industry. Therefore, in recent years, many studies have been conducted on using HSI technology for the safety and quality detection and evaluation of chicken meat. The aim of this review is thus to give a detailed overview about HSI and focus on the recently developed methods exerted in HSI technology developed for microbiological spoilage detection and quality classification of chicken meat. Moreover, the usefulness of HSI technique for detecting fecal contamination and bone fragments of chicken carcasses are presented. Finally, some viewpoints on its future research and applicability in the modern poultry industry are proposed.

[1]  Gamal ElMasry,et al.  Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging. , 2013, Food chemistry.

[2]  Colm P. O'Donnell,et al.  Hyperspectral imaging – an emerging process analytical tool for food quality and safety control , 2007 .

[3]  Da-Wen Sun,et al.  Desorption isotherms for cooked and cured beef and pork , 2002 .

[4]  Da-Wen Sun,et al.  Emerging non-contact imaging, spectroscopic and colorimetric technologies for quality evaluation and control of hams: a review , 2010 .

[5]  Kurt C. Lawrence,et al.  Line-scan hyperspectral imaging for real-time poultry fecal detection , 2010, Defense + Commercial Sensing.

[6]  Renfu Lu,et al.  Gloss Evaluation of Curved-surface Fruits and Vegetables , 2009 .

[7]  D. E. Chan,et al.  Analysis of Vis/NIR Spectral Variations of Wholesome, Septicemia, and Cadaver Chicken Samples , 2003 .

[8]  Moon S. Kim,et al.  Control interface and tracking control system for automated poultry inspection , 2014, Comput. Stand. Interfaces.

[9]  J. L. Woods,et al.  SIMULATION OF THE HEAT AND MOISTURE TRANSFER PROCESS DURING DRYING IN DEEP GRAIN BEDS , 1997 .

[10]  Moon S. Kim,et al.  DETECTION OF SKIN TUMORS ON CHICKEN CARCASSES USING HYPERSPECTRAL FLUORESCENCE IMAGING , 2004 .

[11]  Y. R. Chen,et al.  USE OF HYPER– AND MULTI–SPECTRAL IMAGING FOR DETECTION OF CHICKEN SKIN TUMORS , 2000 .

[12]  Kurt C. Lawrence,et al.  Improved imaging system for fecal detection , 2004, SPIE Optics East.

[13]  Da-Wen Sun,et al.  Recent advances in the use of computer vision technology in the quality assessment of fresh meats , 2011 .

[14]  Gamal Elmasry,et al.  Near-infrared hyperspectral imaging for grading and classification of pork. , 2012, Meat science.

[15]  Seong G. Kong,et al.  Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[16]  Kuanglin Chao,et al.  On-line inspection of poultry carcasses by a dual-camera system , 2002 .

[17]  Hongbin Pu,et al.  Prediction of Color and pH of Salted Porcine Meats Using Visible and Near-Infrared Hyperspectral Imaging , 2014, Food and Bioprocess Technology.

[18]  Kurt C. Lawrence,et al.  Embedded bone fragment detection in chicken fillets using transmittance image enhancement and hyperspectral reflectance imaging , 2008 .

[19]  Moon S. Kim,et al.  Development of simple algorithms for the detection of fecal contaminants on apples from visible/near infrared hyperspectral reflectance imaging , 2007 .

[20]  Da-Wen Sun,et al.  Colour calibration of a laboratory computer vision system for quality evaluation of pre-sliced hams. , 2009, Meat science.

[21]  Da-Wen Sun,et al.  Potential of hyperspectral imaging and pattern recognition for categorization and authentication of red meat , 2012 .

[22]  Cheng-Jin Du,et al.  Comparison of three methods for classification of pizza topping using different colour space transformations , 2005 .

[23]  Kurt C. Lawrence,et al.  Performance of hyperspectral imaging system for poultry surface fecal contaminant detection. , 2006 .

[24]  Chun-Chieh Yang,et al.  Development of multispectral image processing algorithms for identification of wholesome, septicemic, and inflammatory process chickens ☆ , 2005 .

[25]  Moon S. Kim,et al.  Poultry Skin Tumor Detection in Hyperspectral Reflectance Images by Combining Classifiers , 2007, ICIAR.

[26]  Moon S. Kim,et al.  A transportable fluorescence imagining system for detecting fecal contaminants , 2005 .

[27]  Y. R. Chen,et al.  HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .

[28]  Kurt C. Lawrence,et al.  Real-time multispectral imaging system for online poultry fecal inspection using unified modeling language , 2007 .

[29]  Gamal ElMasry,et al.  Chemical-free assessment and mapping of major constituents in beef using hyperspectral imaging , 2013 .

[30]  J. L. Woods,et al.  The Moisture Content/Relative Humidity Equilibrium Relationship Of Wheat - A Review , 1993 .

[31]  Kurt C. Lawrence,et al.  EFFECT OF BROILER CARCASS WASHING ON FECAL CONTAMINANT IMAGING , 2006 .

[32]  Seong G. Kong,et al.  Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors , 2007, IEEE Transactions on Automation Science and Engineering.

[33]  Fei Liu,et al.  Application of Visible and Near Infrared Hyperspectral Imaging to Differentiate Between Fresh and Frozen–Thawed Fish Fillets , 2013, Food and Bioprocess Technology.

[34]  Da-Wen Sun,et al.  Preservation of kiwifruit coated with an edible film at ambient temperature , 2001 .

[35]  Kurt C. Lawrence,et al.  Effectiveness of Hyperspectral Imaging System for Detecting Cecal Contaminated Broiler Carcasses , 2005 .

[36]  Jasper G. Tallada,et al.  Bruise Detection using NIR Hyperspectral Imaging for Strawberry (Fragaria * ananassa Duch.) , 2006 .

[37]  Gamal Elmasry,et al.  Near-infrared hyperspectral imaging and partial least squares regression for rapid and reagentless determination of Enterobacteriaceae on chicken fillets. , 2013, Food chemistry.

[38]  M. Ngadi,et al.  Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry , 2007 .

[39]  Kurt C. Lawrence,et al.  ALGORITHM DEVELOPMENT WITH VISIBLE/NEAR-INFRARED SPECTRA FOR DETECTION OF POULTRY FECES AND INGESTA , 2003 .

[40]  Da-Wen Sun,et al.  Inspecting pizza topping percentage and distribution by a computer vision method , 2000 .

[41]  W. R. Windham,et al.  Hyperspectral Imaging for Detecting Fecal and Ingesta Contaminants on Poultry Carcasses , 2002 .

[42]  W. R. Windham,et al.  A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses , 2003 .

[43]  Da-Wen Sun,et al.  Recent developments and applications of image features for food quality evaluation and inspection – a review , 2006 .

[44]  Moon S. Kim,et al.  Analysis of hyperspectral fluorescence images for poultry skin tumor inspection. , 2004, Applied optics.

[45]  Da-Wen Sun,et al.  Recent applications of image texture for evaluation of food qualities—a review , 2006 .

[46]  Douglas Fernandes Barbin,et al.  Non-destructive assessment of microbial contamination in porcine meat using NIR hyperspectral imaging , 2013 .

[47]  Y. R. Chen,et al.  Hyperspectral-multispectral line-scan imaging system for automated poultry carcass inspection applications for food safety. , 2007, Poultry science.

[48]  S. Prasher,et al.  Pork quality and marbling level assessment using a hyperspectral imaging system , 2007 .

[49]  Federico Pallottino,et al.  Image Analysis Techniques for Automated Hazelnut Peeling Determination , 2010 .

[50]  Da-Wen Sun,et al.  Comparison and selection of EMC/ERH isotherm equations for rice , 1999 .

[51]  Da-Wen Sun,et al.  Meat Quality Assessment Using a Hyperspectral Imaging System , 2010 .

[52]  Gamal ElMasry,et al.  Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging. , 2013, Food chemistry.

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

[54]  Gauri S. Mittal,et al.  Rapid Detection of Microorganisms Using Image Processing Parameters and Neural Network , 2010 .

[55]  Gerald W. Heitschmidt,et al.  Detection of Ingesta on Pre-Chilled Broiler Carcasses by Hyperspectral Imaging , 2005 .

[56]  David Casasent,et al.  Contaminant detection on poultry carcasses using hyperspectral data: Part II. Algorithms for selection of sets of ratio features , 2007, SPIE Optics East.

[57]  Da-Wen Sun,et al.  Pizza quality evaluation using computer vision: Part 1. Pizza base and sauce spread , 2003 .

[58]  Kuanglin Chao,et al.  Systemically diseased chicken identification using multispectral images and region of interest analysis , 2005 .

[59]  Liyun Zheng,et al.  Influence of Ultrasound on Freezing Rate of Immersion-frozen Apples , 2009 .

[60]  David Casasent,et al.  Contaminant detection on poultry carcasses using hyperspectral data: Part I. Algorithms for selection of individual wavebands , 2007, SPIE Optics East.

[61]  David Casasent,et al.  Hyperspectral waveband selection for contaminant detection on poultry carcasses , 2008 .

[62]  Gamal ElMasry,et al.  Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression , 2012 .

[63]  J. L. Woods,et al.  Low temperature moisture transfer characteristics of Barley: thin-layer models and equilibrium isotherms , 1994 .

[64]  Kurt C. Lawrence,et al.  Bone fragment detection in chicken breast fillets using diffuse scattering patterns of back-illuminated structured light , 2006, SPIE Optics East.

[65]  Gamal ElMasry,et al.  Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis. , 2012, Analytica chimica acta.

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

[67]  Yud-Ren Chen,et al.  Machine vision technology for agricultural applications , 2002 .

[68]  Aoife A. Gowen,et al.  Data handling in hyperspectral image analysis , 2011 .

[69]  Chun-Chieh Yang,et al.  Spectral line-scan imaging system for high-speed non-destructive wholesomeness inspection of broilers , 2010 .

[70]  Yao-Ze Feng,et al.  Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets. , 2013, Talanta.

[71]  Gamal ElMasry,et al.  Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging , 2011 .

[72]  D. P. Ariana,et al.  Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging. , 2010 .

[73]  Michael Ngadi,et al.  Detecting Fertility and Early Embryo Development of Chicken Eggs Using Near-Infrared Hyperspectral Imaging , 2013, Food and Bioprocess Technology.

[74]  Noel D.G. White,et al.  Feasibility of near-infrared hyperspectral imaging to differentiate Canadian wheat classes , 2008 .

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

[76]  Bosoon Park,et al.  Co-occurrence matrix texture features of multi-spectral images on poultry carcasses , 2001 .

[77]  Moon S. Kim,et al.  Detection of fecal contamination on leafy greens by hyperspectral imaging , 2011 .

[78]  David Casasent,et al.  Hyperspectral feature selection and fusion for detection of chicken skin tumors , 2004, SPIE Optics East.

[79]  Seung-Chul Yoon,et al.  In-plant Test of In-line Multispectral Imaging System For Fecal Detection during Poultry Processing , 2011 .

[80]  Kurt C. Lawrence,et al.  Fisher Linear Discriminant Analysis for Improving Fecal Detection Accuracy with Hyperspectral Images , 2007 .

[81]  Digvir S. Jayas,et al.  Wavelet Analysis of Signals in Agriculture and Food Quality Inspection , 2010 .

[82]  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 .

[83]  Da-Wen Sun,et al.  Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview , 2012, Critical reviews in food science and nutrition.

[84]  Moon S. Kim,et al.  Development of fuzzy logic based differentiation algorithm and fast line-scan imaging system for chicken inspection , 2006 .

[85]  Da-Wen Sun,et al.  CFD simulation of heat and moisture transfer for predicting cooling rate and weight loss of cooked ham during air-blast chilling process , 2000 .

[86]  Kurt C. Lawrence,et al.  Development of real-time line-scan hyperspectral imaging system for online agricultural and food product inspection , 2010, Defense + Commercial Sensing.

[87]  Da-Wen Sun,et al.  Recent developments in the applications of image processing techniques for food quality evaluation , 2004 .

[88]  Seong-Gon Kong,et al.  Inspection of poultry skin tumor using hyperspectral fluorescence imaging , 2003, International Conference on Quality Control by Artificial Vision.

[89]  Xiuqin Rao,et al.  Detection of common defects on oranges using hyperspectral reflectance imaging , 2011 .

[90]  Ashok Samal,et al.  Visible/near-infrared hyperspectral imaging for beef tenderness prediction , 2008 .

[91]  Da-Wen Sun,et al.  Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review , 2012, Critical reviews in food science and nutrition.

[92]  Kurt C. Lawrence,et al.  Comparison between visible/NIR spectroscopy and hyperspectral imaging for detecting surface contaminants on poultry carcasses , 2004, SPIE Optics East.

[93]  Y R Chen,et al.  Analysis of visible reflectance spectra of stored, cooked and diseased chicken meats. , 2001, Meat science.

[94]  Bosoon Park,et al.  Simple Algorithms for the Classification of Visible/Near-Infrared and Hyperspectral Imaging Spectra of Chicken Skins, Feces, and Fecal Contaminated Skins , 2003, Applied spectroscopy.

[95]  Da-Wen Sun,et al.  Selection of EMC/ERH Isotherm Equations for Rapeseed , 1998 .

[96]  Moon S. Kim,et al.  Automated detection of fecal contamination of apples based on multispectral fluorescence image fusion , 2005 .

[97]  Da-Wen Sun,et al.  Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry , 2014, Food and Bioprocess Technology.

[98]  Da-Wen Sun,et al.  Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review , 2012, Critical reviews in food science and nutrition.

[99]  T. J. Shankar,et al.  A Case Study on Optimization of Biomass Flow During Single-Screw Extrusion Cooking Using Genetic Algorithm (GA) and Response Surface Method (RSM) , 2010 .

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

[101]  D. E. Chan,et al.  High Throughput Spectral Imaging System for Wholesomeness Inspection of Chicken , 2008 .

[102]  Moon S. Kim,et al.  Multispectral detection of organic residues on poultry processing plant equipment based on hyperspectral reflectance imaging technique , 2007 .

[103]  D B Kell,et al.  Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks. , 1998, Microbiology.

[104]  Gamal ElMasry,et al.  Application of NIR hyperspectral imaging for discrimination of lamb muscles , 2011 .

[105]  E. Tollner,et al.  Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderiacepacia)-infected onions , 2012 .

[106]  Karsten Heia,et al.  Classification of fresh Atlantic salmon (Salmo salar L.) fillets stored under different atmospheres by hyperspectral imaging , 2012 .

[107]  S. Oshita,et al.  Rapid detection of Escherichia coli contamination in packaged fresh spinach using hyperspectral imaging. , 2011, Talanta.

[108]  W. R. Windham,et al.  Contaminant classification of poultry hyperspectral imagery using a spectral angle mapper algorithm , 2007 .

[109]  Jun-Hu Cheng,et al.  Using Wavelet Textural Features of Visible and Near Infrared Hyperspectral Image to Differentiate Between Fresh and Frozen–Thawed Pork , 2014, Food and Bioprocess Technology.

[110]  Da-Wen Sun,et al.  Inspection and grading of agricultural and food products by computer vision systems—a review , 2002 .

[111]  D. Jayas,et al.  Identification of wheat classes using wavelet features from near infrared hyperspectral images of bulk samples. , 2009 .

[112]  Ning Wang,et al.  Studies on banana fruit quality and maturity stages using hyperspectral imaging , 2012 .

[113]  Yao-Ze Feng,et al.  Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms. , 2013, Talanta.

[114]  Yud-Ren Chen,et al.  Hyperspectral imaging for safety inspection of food and agricultural products , 1999, Other Conferences.

[115]  Da-Wen Sun,et al.  Rapid cooling of porous and moisture foods by using vacuum cooling technology , 2001 .

[116]  David Casasent,et al.  Fast feature selection algorithm for poultry skin tumor detection in hyperspectral data , 2009 .

[117]  Di Wu,et al.  Potential of time series-hyperspectral imaging (TS-HSI) for non-invasive determination of microbial spoilage of salmon flesh. , 2013, Talanta.