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Colour Feature Extraction Techniques of Fruits: A Survey

by Ankur M Vyas, Bjial Talati, Sapan Naik
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 15
Year of Publication: 2013
Authors: Ankur M Vyas, Bjial Talati, Sapan Naik
10.5120/14524-2915

Ankur M Vyas, Bjial Talati, Sapan Naik . Colour Feature Extraction Techniques of Fruits: A Survey. International Journal of Computer Applications. 83, 15 ( December 2013), 15-22. DOI=10.5120/14524-2915

@article{ 10.5120/14524-2915,
author = { Ankur M Vyas, Bjial Talati, Sapan Naik },
title = { Colour Feature Extraction Techniques of Fruits: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 15 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number15/14524-2915/ },
doi = { 10.5120/14524-2915 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:27.318696+05:30
%A Ankur M Vyas
%A Bjial Talati
%A Sapan Naik
%T Colour Feature Extraction Techniques of Fruits: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 15
%P 15-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There is a great significance of agriculture in India. Fruit grading can improve the revenue of fruits. In the automated fruit grading system the most important feature is its colour. So for any automated fruit grading system one should have the idea of colour space and segmentation needs to be performed. As colour feature extraction has a vital role in grading, here a review of various colour feature extraction techniques in detail is provided.

References
  1. Chaudhary Charan Singh National Institute of Agriculture Marketing Website. [Online]. www. ccsniam. gov. in/research/KCG%20Final%20report. pdf?
  2. MM Pandey, "INDIAN AGRICULTURE – AN INTRODUCTION," Asian and Pacific Centre for Agricultural Engineering and Machinery (APCAEM), Thailand, Country Report: INDIA 2009.
  3. Vijay Paul Sharma and Dinesh Jain. (2011, July) [Online]. www. iimahd. ernet. in:8181/assets/upload/faculty/678631189High%20Value%20Agri. %20Working%20Paper. pdf
  4. R. D. Tillett, "Image analysis for agricultural processes: a review of potential opportunities," Journal of Agricultural Engineering Research, vol. 50, pp. 247-258, September-December 1991.
  5. Anup Vibhute and S K Bodhe, "Applications of Image Processing in Agriculture: A Survey," International Journal of Computer Applications, vol. 52, no. 2, pp. 34-40, August 2012
  6. A. -G. Manh, G. Rabatel, L. Assemat, and M. -J. Aldon, "AE—Automation and Emerging Technologies: Weed Leaf Image Segmentation by Deformable Templates," Journal of Agricultural Engineering Research, vol. 80, no. 2, pp. 139-146, October 2001.
  7. Chun-Chieh Yang, Shiv O. Prasher, Jacques-André Landry, and Hosahalli S. Ramaswamy, "Development of an Image Processing System and a Fuzzy Algorithm for Site-Specific Herbicide Applications," Precision Agriculture, vol. 4, no. 1, pp. 5-18, March 2003.
  8. Santhosh K Seelan, Soizik Laguette, Grant M Casady, and George A Seielstad, "Remote sensing applications for precision agriculture: A learning community approach," Remote Sensing of Environment, vol. 88, no. 1-2, pp. 157-169, November 2003.
  9. M. S. Moran, "Irrigation management in Arizona using satellites and airplanes," Irrigation Science, vol. 15, no. 1, pp. 35-44, September 1991.
  10. Hongshe Dang, Jinguo Song, and Qin Guo, "A Fruit Size Detecting and Grading System Based on Image Processing," Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on, vol. 2, pp. 83-86, August 2010.
  11. M. Khojastehnazhand, M. Omid, and A. Tabatabaeefar, "Development of a lemon sorting system based on colour and size," African Journal of Plant Science, vol. 4(4), pp. 122-127, April 2010.
  12. Ashutosh Kumar Bhatt, Durgesh Pant, and Richa Singh, "An analysis of the performance of Artificial Neural Network technique for apple classification," AI & SOCIETY, May 2012.
  13. Akira Mizushima and Renfu Lu, "An image segmentation method for apple sorting and grading using support vector machine and Otsu's method," Computers and Electronics in Agriculture, vol. 94, pp. 29-37, June 2013.
  14. Zou Xiaobo, Zhao Jiewen and Li Yanxiao, "Apple colour grading based on organization feature parameters," Pattern Recognition Letters, vol. 28, pp. 2046-2053, June 2007.
  15. Kazuhiro Nakano, "Application of neural networks to the colour grading of apples," Computers and Electronics in Agriculture, vol. 18, no. 2-3, pp. 105-116, August 1997.
  16. P. Sudhakara Rao and S. Renganathan, "New Approaches for Size Determination of Apple Fruits for Automatic Sorting and Grading," IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, vol. 1, no. 2, March 2002.
  17. Rong Zhou, Lutz Damerow, Yurui Sun, and Michael M. Blanke, "Using colour features of cv. 'Gala' apple fruits in an orchard in image processing to predict yield," Precision Agriculure, vol. 13, no. 5, pp. 568-580, October 2012.
  18. V. Leemans, H. Magein, and M. -F. Destain, "AE—Automation and Emerging Technologies: On-line Fruit Grading according to their External Quality using Machine Vision," Biosystems Engineering, vol. 83, no. 4, pp. 397-404, December 2002.
  19. Z. May and M. H. Amaran, "Automated Oil Palm Fruit Grading System using Artificial Intelligence," International Journal of Video & Image Processing and Network Security, vol. 11, no. 03, June 2011.
  20. Meftah Salem M. Alfatni , Abdul Rashid Mohamed Shariff , Helmi Zulhaidi Mohd Shafri, Osama M. Ben Saaed, and Omar M. Eshanta , "Oil Palm Fruit Bunch Grading System Using Red, Green and Blue Digital Number," Journal of Applied Sciences, vol. 8, no. 8, pp. 1444-1452, 2008.
  21. Xu Liming and Zhao Yanchao, "Automated strawberry grading system based on image processing," Computers and Electronics in Agriculture, vol. 71, no. Supplement 1, pp. S32-S39, April 2010.
  22. U. Ahmad, M. Suhil, R. Tjahjohutomo, and H. K. Purwadaria, "Development of Citrus Grading System Using Image Processing".
  23. Naoshi Kondo, Usman Ahmad, Mitsuji Monta, and Haruhiko Murase, "Machine vision based quality evaluation of Iyokan orange fruit using neural networks," Computers and Electronics in Agriculture, vol. 29, no. 1-2, pp. 135-147, October 2000.
  24. Tajul Rosli Bin Razak, Mahmod Bin Othman(DR), Mohd Nazari Bin Abu Bakar(DR), Khairul Adilah BT Ahmad, and AB. Razak Bin Mansor, "Mango Grading By Using Fuzzy Image Analysis," in In proceedings of International Conference on Agricultural, Environment and Biological Sciences, Phuket, 2012.
  25. K. Padmavathi, "Investigation and monitoring for leaves disease detection and evaluation using image processing," International Research Journal of Engineering Science, Technology and Innovation , vol. 1, no. 3, pp. 66-70, June 2012.
  26. Cheng, Heng-Da, X. H. Jiang, Ying Sun, and Jingli Wang. "Colour image segmentation: advances and prospects. " Pattern recognition 34, no. 12 (2001): 2259-2281.
  27. Satish Kachhadiya, Nitin Gondaliya, and Amit Chaudhari, "A comprehensive study of image segmentation," International Journal of Computer Science and Information Technology & Security, vol. 2, no. 6, pp. 1120-1125, December 2012.
  28. Gonzalez, Rafael C. , Richard E. Woods, and S. L. Eddins. "Image segmentation. " Digital Image Processing (2002): 577-581
  29. Gonzalez, Rafael C. , Richard E. Woods, and S. L. Eddins. "Colour image processing. " Digital Image Processing (2002): 289-301.
  30. Hong Zheng and Hongfei Lu, "A least-squares support vector machine (LS-SVM) based on fractal analysis and CIELab parameters for the detection of browning degree on mango (Mangifera indica L. )," Computers and Electronics in Agriculture, vol. 83, pp. 47-51, January 2012.
  31. Yousef Al Ohali, "Computer vision based date fruit grading system: Design and implementation," Journal of King Saud University - Computer and Information Sciences, vol. 23, no. 1, pp. 29-39, January 2011
  32. Alberto Tellaeche, Gonzalo Pajares, Xavier P. Burgos-Artizzu, and Angela Ribeiro, "A computer vision approach for weeds identification through Support Vector Machines," Applied Soft Computing, vol. 11, no. 1, pp. 908-915, January 2011.
  33. V. Leemans and M. -F. Destain, "A real-time grading method of apples based on features extracted from defects," Journal of Food Engineering, vol. 61, no. 1, pp. 83-89, January 2004.
  34. Jing Hu et al. , "Fish species classification by color, texture and multi-class support vector machine using computer vision," Computers and Electronics in Agriculture, vol. 88, pp. 133-140, October 2012.
  35. Woo Chaw Seng and Seyed Hadi Mirisaee, "A New Method for Fruits Recognition System," Electrical Engineering and Informatics, vol. 01, pp. 130-134, August 2009.
  36. J Blasco, N Aleixos, and E Moltó, "Machine Vision System for Automatic Quality Grading of Fruit," Biosystems Engineering, vol. 85, no. 4, pp. 415-423, August 2003.
  37. J. Blasco, N. Aleixos, J. Gómez, and E. Moltó, "Citrus sorting by identification of the most common defects using multispectral computer vision," Journal of Food Engineering, vol. 83, no. 3, pp. 384-393, December 2007.
  38. M. Z. Abdullah, J. Mohamad-Saleh, A. S. Fathinul-Syahir, and B. M. N. Mohd-Azemi, "Discrimination and classification of fresh-cut starfruits (Averrhoa carambola L. ) Using automated machine vision system," Journal of Food Engineering, vol. 76, no. 4, pp. 506-523, October 2006.
  39. Ercan Ozyildiz, Nils Krahnstover, and Rajeev Sharma, "Adaptive texture and colour segmentation for tracking moving objects," Pattern Recognition, vol. 35, pp. 2013-2029, 2002.
  40. A. Camargoa and J. S. Smith, "An image-processing based algorithm to automatically identify plant disease visual symptoms," BIOSYSTEMS ENGINEERING, vol. 102, no. 1, pp. 9-21, January 2009.
  41. Eduardo Carrillo and Alexander Aristizábal Peñaloza, "Artificial vision to assure coffee-Excelso beans quality," in EATIS, Czech Republic, 2009, p. 35.
  42. Nursuriati Jamil, Azlinah Mohamed, and Syazwani Abdullah, "Automated Grading of Palm Oil Fresh Fruit Bunches (FFB) using Neuro-Fuzzy Technique," 2009 International Conference of Soft Computing and Pattern Recognition, pp. 245-249, 2009.
  43. B. G Prasad, K. K Biswas, and S. K Gupta, "Region-based image retrieval using integrated color, shape, and location index," Computer Vision and Image Understanding, vol. 94, no. 1-3, pp. 192-233, April-June 2004.
  44. Xu Qiabao, Zou Xiaobo, and Zhao Jiewen, "On-Line Detection of Defects on Fruit by Machinevision Systems Based on Three-Color-Cameras Systems," Computer and Computing Technologies in Agriculture II, vol. 3, pp. 2231-2238, 2009.
  45. Anderson Rocha, Daniel C. Hauagge, Jacques Wainer, and Siome Goldenstein, "Automatic fruit and vegetable classification from images," Computers and Electronics in Agriculture, vol. 70, no. 1, pp. 96-104, January 2010.
  46. Xuming Chen and Simon X. Yang, "A practical solution for ripe tomato recognition and localisation," Journal of Real-Time Image Processing, vol. 8, no. 1, pp. 35-51, January 2013.
  47. A. B. Payne, K. B. Walsh, P. P. Subedi, and D. Jarvis, "Estimation of mango crop yield using image analysis – Segmentation method," Computers and Electronics in Agriculture, vol. 91, pp. 57-64, February 2013.
  48. Dah-Jye Lee, James K. Archibald, and Guangming Xiong, "Rapid Colour Grading for Fruit Quality Evaluation Using Direct Colour Mapping," IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, vol. 8, no. 2, pp. 292-302, November 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Colour spaces Fruit grading Image processing Segmentation.

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