Quality and Safety Inspection of Food and Agricultural Products by LabVIEW IMAQ Vision
详细信息 查看全文
- 作者：Zhuqing Ding (1) (2)
Ruoyu Zhang (1) (2)
Za Kan (1) (2)
1. Machinery and Electricity Engineering College of Shihezi University ; Shihezi ; 832000 ; China
2. Key Laboratory for Agricultural Machinery of Xinjiang Production and Construction Corps ; Shihezi ; 832000 ; China - 关键词：LabVIEW Vision ; Image analysis ; Quality and safety inspection ; Food and agricultural products
- 刊名：Food Analytical Methods
- 出版年：2015
- 出版时间：February 2015
- 年：2015
- 卷：8
- 期：2
- 页码：290-301
- 全文大小：513 KB
- 参考文献：1. Abdullah MZ, Mohamad-Saleh J, Fathinul-Syahir AS, Mohd-Azemi B (2006) Discrimination and classification of fresh-cut starfruits ( / Averrhoa carambola L.) using automated machine vision system. J Food Eng 76(4):506鈥?23 CrossRef
2. Aitkenhead MJ, Dalgetty IA, Mullins CE, McDonald A, Strachan N (2003) Weed and crop discrimination using image analysis and artificial intelligence methods. Comput Electron Agric 39(3):157鈥?71 CrossRef
3. Ariana DP, Lu R (2008a) Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging: Part I. Development of a prototype. Sens Instrum Food Qual Saf 2(3):144鈥?51 CrossRef
4. Ariana DP, Lu R (2008b) Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging鈥擯art II. Performance of a prototype. Sens Instrum Food Qual Saf 2(3):152鈥?60 CrossRef
5. 脜strand B, Baerveldt A (2002) An agricultural mobile robot with vision-based perception for mechanical weed control. Auton Robot 13(1):21鈥?5 CrossRef
6. Bakker T, Wouters H, Asselt KV, Bontsema J, Tang L, M眉ller J, Straten VG (2008) A vision based row detection system for sugar beet. Comput Electron Agric 60(1):87鈥?5 CrossRef
7. Baranyai L, Regen C, Zude M (2009) Monitoring optical properties of apple tissue during cool storage. CIGR Workshop on Image Analyses in Agriculture, pp 112鈥?19
8. Bartlett SL, Besl PJ, Cole CL, Jain R, Mukherjee D, Skifstad KD (1988) Automatic solder joint inspection. IEEE Trans Pattern Anal Mach Intell 10(1):31鈥?3 CrossRef
9. Bergaz LP, Ruiz GR, Gracia LMN, Guimaraes AC, Gil JG (2010) Bakery products quality control using computer vision: Napolitala鈥檚 case. CIGR Workshop on image analysis in agriculture, pp 26鈥?7
10. Blasco J, Aleixos N, Molt贸 E (2003) Machine vision system for automatic quality grading of fruit. Biosyst Eng 85(4):415鈥?23 CrossRef
11. Brosnan T, Sun D (2002) Inspection and grading of agricultural and food products by computer vision systems鈥攁 review. Comput Electron Agric 36(2):193鈥?13 CrossRef
12. Chao K, Park B, Chen YR, Hruschka WR, Wheaton FW (2000) Design of a dual-camera system for poultry carcasses inspection. Appl Eng Agric 16(5):581鈥?87 CrossRef
13. Chao K, Yang CC, Kim MS, Chan DE (2008) High throughput spectral imaging system for wholesomeness inspection of chicken. Appl Eng Agric 24(4):475鈥?85 CrossRef
14. Chen H, Ting C (2004) The development of a machine vision system for shiitake grading. J Food Qual 27(5):352鈥?65 CrossRef
15. Crowe TG, Delwiche MJ (1996a) Real-time defect detection in fruit-Part I: design concepts and development of prototype hardware. Trans ASAE 39(6):2299鈥?308 CrossRef
16. Crowe TG, Delwiche MJ (1996b) Real-time defect detection in fruit鈥攑art II: an algorithm and performance of a prototype system. Trans ASAE 39(6):2309鈥?317 CrossRef
17. Das K, Evans MD (1992) Detecting fertility of hatching eggs using machine vision. II. Neural network classifiers. Trans ASAE 35(6):2035鈥?041 CrossRef
18. Ding S, Jiang XY, Xi W (2010) Study on the image processing technology based on LabVIEW. Microcomput Inf 29:204鈥?05
19. Dowling KJ, Mueller GG, Lys IA (2003) Systems and methods for providing illumination in machine vision systems. US Patents (US6624597 B2)
20. Eifert JD, Sanglay GC, Lee D, Sumner SS, Pierson MD (2006) Prediction of raw produce surface area from weight measurement. J Food Eng 74(4):552鈥?56 CrossRef
21. Evans MD, Thai CN, Grant JC (1998) Development of a spectral imaging system based on a liquid crystal tunable filter. Trans ASAE 41(6):1845鈥?852 CrossRef
22. Fernandez L, Castillero C, Aguilera JM (2005) An application of image analysis to dehydration of apple discs. J Food Eng 67(1):185鈥?93 CrossRef
23. Figueiredo GF, Dickerson TW, Benson ER, Van Wickelen GL, Gedamu N (2003) Development of machine vision based poultry behavior analysis system. 2003 ASAE Annual International Meeting, Nevada, pp1-17
24. Gunasekaran S (2001) Nondestructive food evaluation: techniques to analyse properties and quality. CRC
25. Hatcher DW, Symons SJ, Manivannan U (2004) Developments in the use of image analysis for the assessment of oriental noodle appearance and colour. J Food Eng 61(1):109鈥?17 CrossRef
26. Huang KY, Lin TC (2000) Estimating the geometric characteristics of Phalaenopsis orchid during big plant stage with machine vision. J Agric Mach 9(2):13鈥?6
27. Husin ZB, Shakaff AYBM, Aziz AHBA, Farook RBSM (2012) Feasibility study on plant chili disease detection using image processing techniques. 2012 Third International Intelligent Systems, Modelling and Simulation (ISMS), Kota Kinabalu Sabah, pp 291鈥?96
28. Jain NC, Paape MJ, Miller RH (1991) Use of flow cytometry for determination of differential leukocyte counts in bovine blood. Am J Vet Res 52(4):630鈥?36
29. Junior S, Pinto FAC, Queiroz DM, G贸mez-Gil J, Navas-Gracia LM (2012) Weed mapping using a machine vision system. Planta Daninha 30(1):217鈥?27 CrossRef
30. Kamtongdee C, Sumriddetchkajorn S, Sa-Ngiamsak C (2013) Feasibility study of silkworm pupa sex identification with pattern matching. Comput Electron Agric 95:31鈥?7 CrossRef
31. Kanali C, Murase H, Honami N (1998) Three-dimensional shape recognition using a charge-simulation method to process primary image features. J Agric Eng Res 70(2):195鈥?08 CrossRef
32. Kaya A, Ko S, Gunasekaran S (2011) Viscosity and color change during in situ solidification of grape pekmez. Food Bioprocess Tech 4(2):241鈥?46 CrossRef
33. Kim MS, Chen YR, Mehl PM (2001) Hyperspectral reflectance and fluorescence imaging system for food quality and safety. Trans Am Soc Agric Eng 44(3):721鈥?30
34. Klinger T (2003) Image processing with LabVIEW and IMAQ Vision. Prentice Hall Professional
35. Koc AB (2007) Determination of watermelon volume using ellipsoid approximation and image processing. Postharv Biol Technol 45(3):366鈥?71 CrossRef
36. Krutz GW, Gibson HG, Cassens DL, Min Z (2000) Colour vision in forest and wood engineering. Landwards 55(1):2鈥?
37. Lawrence KC, Park B, Heitschmidt GW, Windham WR, Thai CN (2007) Evaluation of LED and tungsten-halogen lighting for fecal contaminant detection. Appl Eng Agric 23(6):811鈥?18 CrossRef
38. Lerner JM, Drake LA (1999) Hyperspectral imaging in a LabVIEW environment. Proc SPIE 3605:264鈥?72 CrossRef
39. Liu JQ, Wang CY, Wu JQ, Liu Y, Zhang Q (2009) Agricultural product color recognition system research based on LabVIEW and IMAQ Vision. J Agric Mech Res 03:50鈥?2
40. Mahendran R, Jayashree GC, Alagusundaram K (2012) Application of computer vision technique on sorting and grading of fruits and vegetables. J Food Process Technol 10:2157鈥?110
41. Majumdar S, Jayas DS (2000a) Classification of cereal grains using machine vision: I. Morphology models. Trans ASAE 43(6):1669鈥?675 CrossRef
42. Majumdar S, Jayas DS (2000b) Classification of cereal grains using machine vision: II. Color models. Trans ASAE 43(6):1677鈥?680 CrossRef
43. Majumdar S, Jayas DS (2000c) Classification of cereal grains using machine vision: III. Texture models. Trans ASAE 43(6):1681鈥?687 CrossRef
44. Majumdar S, Jayas DS (2000d) Classification of cereal grains using machine vision: IV. Combined morphology, color, and texture models. Trans ASAE 43(6):1689鈥?694 CrossRef
45. Martin ME, Wabuyele MB, Chen K, Kasili P, Panjehpour M, Phan M, Overholt B, Cunningham G, Wilson D, DeNovo RC (2006) Development of an advanced hyperspectral imaging (HSI) system with applications for cancer detection. Ann Biomed Eng 34(6):1061鈥?068 CrossRef
46. Martynenko AI (2008) Food quality optimization in thermal processing. pp1-8
47. Martynenko AI (2011) Porosity evaluation of ginseng roots from real-time imaging and mass measurements. Food Bioprocess Tech 4(3):417鈥?28 CrossRef
48. Martynenko AI, Davidson VJ, Brown RB (2005) Intelligent computer vision system (SAIF) for automated inspection of ginseng roots quality. The CSAE/SCGR 2005 Meeting, Winnipeg, Canada
49. Mueller J, Walther S, Boettinger S, Ruckelshausen A, Henten EJV (2006) Field robot design contest鈥攁 showcase in agricultural engineering education. 3rd IFAC International Workshop on Bio-Robotics, Information technology and intelligent control for bioproduction systems, pp 276鈥?81
50. Mulet A, Garcia-Reverter J, Bon J, Berna A (2000) Effect of shape on potato and cauliflower shrinkage during drying. Dry Technol 18(6):1201鈥?219 CrossRef
51. Mummert CN (2005) The development of a machine vision system to measure the shape of a sweet potato root. Dissertation, North Carolina State University
52. Narayan JS, Matsuokat (2000) Non-destructive techniques for quality evaluation of intact fruits and vegetables. Food Sci Technol Res 6(4):248鈥?51 CrossRef
53. Narendra VG, Hareesha KS (2010) Prospects of computer vision automated grading and sorting systems in agricultural and food products for quality evaluation. Int J Comput Appl 1(4):1鈥? CrossRef
54. National InstrumentsTM (2000a) IMAQ Vision for LabVIEW User Manual. http://www.ni.com/pdf/manuals/322917a
55. National InstrumentsTM (2000b) IMAQ Vision Concepts Manual. http://www.ni.com/pdf/manuals/322916a
56. National Instruments TM (2001) LabVIEWTW User Manuals. http://www.ni.com/pdf/manuals/320999d
57. National InstrumentsTM (2005) NI Vision for LabVIEWTM User Manual. http://www.ni.com/pdf/manuals/371007b
58. Nicola茂 BM, L枚tze E, Peirs A, Scheerlinck N, Theron KI (2006) Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging. Postharv Biol Technol 40(1):1鈥? CrossRef
59. Noh HK, Peng Y, Lu R (2007) Integration of hyperspectral reflectance and fluorescence imaging for assessing apple maturity. Trans ASABE 50(3):963鈥?71 CrossRef
60. Pandit RB, Tang J, Liu F, Mikhaylenko G (2007a) A computer vision method to locate cold spots in foods in microwave sterilization processes. Pattern Recogn 40(12):3667鈥?676
61. Pandit RB, Tang J, Liu F, Pitts M (2007b) Development of a novel approach to determine heating pattern using computer vision and chemical marker (M-2) yield. J Food Eng 78(2):522鈥?28 CrossRef
62. Park B, Chen YR, Nguyen M, Hwang H (1996) Characterizing multispectral images of tumorous, bruised, skin-torn, and wholesome poultry carcasses. Trans ASAE 39(5):1933鈥?941 CrossRef
63. Patel KK, Kar A, Jha SN, Khan MA (2012) Machine vision system: a tool for quality inspection of food and agricultural products. J Food Sci Technol 49(2):123鈥?41 CrossRef
64. Qin J, Burks TF, Zhao X, Niphadkar N, Ritenour MA (2012) Development of a two-band spectral imaging system for real-time citrus canker detection. J Food Eng 108(1):87鈥?3 CrossRef
65. Qin J, Jun W, Kim MS, Chao K (2010) Detection of organic residues on food processing equipment surfaces by spectral imaging method. SPIE Defense, Security, and Sensing. International Society for Optics and Photonics. Proc. SPIE, 7676
66. Ramirez RA (2006) Computer vision based analysis of broccoli for application in a selective autonomous harvester. Dissertation, Virginia Polytechnic Institute and State University
67. Saad FSA, Shakaff A, Zakaria A, Abdullah MZ, Adom AH (2012) Bio-inspired vision fusion for quality assessment of harumanis mangoes. 2012 Third International Intelligent Systems, Modelling and Simulation (ISMS), Kota Kinabalu, pp 317鈥?24
68. Schmoranzer J, Goulian M, Axelrod D, Simon SM (2000) Imaging constitutive exocytosis with total internal reflection fluorescence microscopy. J Cell Biol 149(1):23鈥?2 CrossRef
69. Sergeant D, Boyle R, Forbes M (1998) Computer visual tracking of poultry. Comput Electron Agric 21(1):1鈥?8 CrossRef
70. Singh CB, Jayas DS, Paliwal J, White N (2007) Fungal detection in wheat using near-infrared hyperspectral imaging. Trans ASABE 50(6):2171鈥?176 CrossRef
71. Singh CB, Jayas DS, Paliwal J, White ND (2010) Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging. Comput Electron Agric 73(2):118鈥?25 CrossRef
72. Stajnko D, Lakota M, Ho膷evar M (2004) Estimation of number and diameter of apple fruits in an orchard during the growing season by thermal imaging. Comput Electron Agric 42(1):31鈥?2 CrossRef
73. Sun D (2000) Inspecting pizza topping percentage and distribution by a computer vision method. J Food Eng 44(4):245鈥?49 CrossRef
74. Sun D (2011) Computer vision technology for food quality evaluation. Academic Press
75. Syahir F, Shakaff AYM, Zakaria A, Abdullah MZ, Adom AH, Ezanuddin A (2012) Edible bird nest shape quality assessment using machine vision system. 2012 Third International Intelligent Systems, Modelling and Simulation (ISMS), Kota Kinabalu, pp325-329
76. Tao Y (1996a) Method and apparatus for sorting objects by color including stable color transformation. US Patents (US5533628 A)
77. Tao Y (1996b) Spherical transform of fruit images for on鈥恖ine defect extraction of mass objects. Opt Eng 35(2):344鈥?50 CrossRef
78. Tao Y (1996c) Method and apparatus for sorting objects by color including stable color transformation. US Patents (US5533628 A)
79. Tao Y, Deck SH, Morrow CT, Heinemann PH, Sommer HJ, Cole RH (1991) Rule-supervised automated machine vision inspection of produce.1991 International Summer Meeting sponsored by the American Society of Agricultural Engineers. Albuquerque, New Mexico
80. Tillett ND, Hague T (1999) Computer-vision-based hoe guidance for cereals鈥攁n initial trial. J Agric Eng Res 74(3):225鈥?36 CrossRef
81. Tillett ND, Hague T, Miles SJ (2002) Inter-row vision guidance for mechanical weed control in sugar beet. Comput Electron Agric 33(3):163鈥?77 CrossRef
82. V谋虂zh谩ny贸 T, Felf枚ldi J (2000) Enhancing colour differences in images of diseased mushrooms. Comput Electron Agric 26(2):187鈥?98 CrossRef
83. Wang C, Li X, Wang W, Feng Y, Zhou Z, Zhan H (2011) Recognition of worm-eaten chestnuts based on machine vision. Math Comput Model 54(3):888鈥?94 CrossRef
84. Wang TY, Nguang SK (2007) Low cost sensor for volume and surface area computation of axi-symmetric agricultural products. J Food Eng 79(3):870鈥?77 CrossRef
85. Wang W, Li CY, Tollner EW, Rains GC (2012a) Development of software for spectral imaging data acquisition using LabVIEW. Comput Electron Agric 84:68鈥?5 CrossRef
86. Wang W, Li CY, Tollner EW, Gitaitis RD (2012b) Rains GC (2012) Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderia cepacia)-infected onions. J Food Eng 109:38鈥?8 CrossRef
87. Warren DE (1997) Image analysis research at NIAB: chrysanthemum leaf shape. Plant Varieties Seeds 10(1)
88. Wen JC (2012) Design and application of a product-inspecting machine vision platform based on LabVIEW and IMAQ Vision. Dissertation, South China University of Technology
89. Wilhoit JH, Kutz LJ, Fly DE, South DB (1994) PC-based multiple camera machine vision systems for pine seedling measurements. Appl Eng Agric 10(6)
90. Xing J, Bravo C, Jancs贸k PT, Ramon H, Baerdemaeker DJ (2005) Detecting bruises on 鈥楪olden Delicious鈥?apples using hyperspectral imaging with multiple wavebands. Biosyst Eng 90(1):27鈥?6 CrossRef
91. Yang J (2011) Research on color image objects extraction system based on LabVIEW. Master thesis, Zhengzhou University. pp 6鈥?
92. Yang Q (1993) Finding stalk and calyx of apples using structured lighting. Comput Electron Agric 8(1):31鈥?2 CrossRef
93. Yang Q (1994) An approach to apple surface feature detection by machine vision. Comput Electron Agric 11(2):249鈥?64 CrossRef
94. Yoon SC, Park B, Lawrence KC, Windham WR, Heitschmidt GW (2011) Line-scan hyperspectral imaging system for real-time inspection of poultry carcasses with fecal material and ingesta. Comput Electron Agric 79(2):159鈥?68 CrossRef
95. Zayas I, Pomeranz Y, Lai FS (1989) Discrimination of wheat and nonwheat components in grain samples by image analysis. Cereal Chem 66(3):233鈥?37
96. Zhang H, Gao L, Liu J, Wang ZX, Zhai YN (2013) The application of LabVIEW and IMAQ in image acquisition and processing. Appl Mech Mater 263鈥?66:2515鈥?518
97. Zhang QF, Gao J (2011) Research progress of lighting technology in machine vision. China Illum Eng J 22(2):31鈥?7 - 刊物类别：Chemistry and Materials Science
- 刊物主题：Chemistry
Food Science
Chemistry
Microbiology
Analytical Chemistry - 出版者：Springer New York
- ISSN：1936-976X
文摘
LabVIEW IMAQ Vision is potentially useful for inspecting food and agricultural products since it combines the merits of both LabVIEW and IMAQ Vision, which have graphical programming environment and rich image processing functions. This paper provides profound introduction to LabVIEW IMAQ Vision: the principal components of LabVIEW IMAQ Vision, calibration, and image processing and analysis using VIs functions are described. In addition, recent advances in the application of LabVIEW IMAQ Vision to food and agricultural products inspection are reviewed, such as defects detection, shape classification, fruit grading and quality evaluation, etc. Finally, current limitations and likely future development trends are discussed. And the results of discussion showed that the utilization of IMAQ Vision module is restricted by the hardware environment, and mixed programming with LabVIEW and MATLAB is the development trend of LabVIEW IMAQ Vision.