Asian Journal of Information Technology

Year: 2019
Volume: 18
Issue: 1
Page No. 28 - 36

Image Processing Techniques for Measuring Diameter Tomato Vegetable Using MATLAB Applications

Authors : Salman Abd Kadhum, Tameem Hameed Obaida and Hasan Najim Zugair

References

Agrawal, S., S. Jha and C. Dewangan, 2016. Grading of tomatoes using digital image processing on the basis of color. Intl. J. Res. Engg. Tech., 5: 138-140.
Direct Link  |  

Alvarez-Bermejo, J.A., C. Giagnocavo, L. Ming, E.C. Morales and D.P.M. Santos et al., 2017. Image processing methods to evaluate tomato and zucchini damage in post-harvest stages. Intl. J. Agric. Biol. Eng., 5: 126-133.
Direct Link  |  

Belsha, N. and N. Hariprasad, 2017. An approach for identification of infections in vegetables using image processing techniques. Proceedings of the 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), March 17-18, 2017, IEEE, Coimbatore, India, ISBN:978-1-5090-3295-2, pp: 1-6.

Budiman, F., R. Mardiyanto and R. Rachmat, 2016. A handy and accurate device to measure smallest diameter of log to reduce measurement errors. Proceedings of the 2016 International Seminar on Intelligent Technology and its Applications (ISITIA), July 28-30, 2016, IEEE, Lombok, Indonesia, ISBN:978-1-5090-1710-2, pp: 423-428.

Dang, H., J. Song and Q. Guo, 2010. A fruit size detecting and grading system based on image processing. Proceedings of the 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Vol. 2, August 26-28, 2010, IEEE, Nanjing, Jiangsu, China, ISBN:978-1-4244-7869-9, pp: 83-86.

Dang, H., J. Song and Q. Guo, 2010. A fruit size detecting and grading system based on image processing. Proceedings of the 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) Vol. 2, August 26-28, 2010, IEEE, Nanjing, Jiangsu, China, ISBN:978-1-4244-7869-9, pp: 83-86.

Devalatkar, P.G. and S.R. Koli, 2016. Identification of age factor of fruit (Tomato) using matlab-image processing. Intl. J. Recent Trends Eng. Res., 2: 7-13.
Direct Link  |  

Devi, P.V. and K. Vijayarekha, 2014. Machine vision applications to locate fruits, detect defects and remove noise: A review. Rasayan J. Chem., 7: 104-113.
Direct Link  |  

Du, C.J. and D.W. Sun, 2004. Recent developments in the applications of image processing techniques for food quality evaluation. Trends Food Sci. Technol., 15: 230-249.
CrossRef  |  Direct Link  |  

Gunawan, K.D., 2013. [The classification of image orange of kintamani based on the colors and sizes by employing euclidean distance approach (In Indonesian)]. Inf. Eng. Educ. Stud. Articles, 2: 261-274.
Direct Link  |  

Kalaivani, R., S. Muruganand and A. Periasamy, 2013. Identifying the quality of tomatoes in image processing using matlab. Intl. J. Adv. Res. Electric. Electron. Instrum. Eng., 2: 3525-3531.
Direct Link  |  

Kaur, M. and R. Sharma, 2015. Quality detection of fruits by using ANN technique. IOSR. J. Electron. Commun. Eng., 10: 35-41.
CrossRef  |  Direct Link  |  

Khoshroo, A., A. Arefi and J. Khodaei, 2014. Detection of red tomato on plants using image processing techniques. Agric. Commun., 2: 9-15.

Lino, A.C.L., J. Sanches and I.M.D. Fabbro, 2008. Image processing techniques for lemons and tomatoes classification. Bragantia, 67: 785-789.
CrossRef  |  Direct Link  |  

Lino, A.C.L., J. Sanches and I.M.D. Fabbro, 2008. Image processing techniques for lemons and tomatoes classification. Bragantia, 67: 785-789.
CrossRef  |  Direct Link  |  

Mishra, A., P. Asthana and P. Khanna, 2014. The quality identification of fruits in image processing using Matlab. Intl. J. Res. Eng. Technol., 3: 92-95.
Direct Link  |  

Pandey, R., N. Gamit and S. Naik, 2014. Non-destructive quality grading of mango (Mangifera indica L) based on CIELab colour model and size. Proceedings of the 2014 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), May 8-10, 2014, IEEE, Ramanathapuram, India, pp: 1246-1251.

Pandey, R., S. Naik and R. Marfatia, 2013. Image processing and machine learning for automated fruit grading system: A technical review. Intl J. Comput. Appl., 81: 29-38.
Direct Link  |  

Raut, S. and A. Fulsunge, 2017. Review on fruit disease detection using image processing techniques. Int. J. Innov. Emerg. Res. Eng., 4: 22-24.
Direct Link  |  

Rokunuzzaman, M. and H.P.W. Jayasuriya, 2013. Development of a low cost machine vision system for sorting of tomatoes. Agric. Eng. Intl. CIGR. J., 15: 173-180.
Direct Link  |  

Sudhir, M., D.S. Kumari and E.V. Narayana, 2017. Image based detection of defected vegitables. Intl. Res. J. Eng. Technol., 4: 653-657.
Direct Link  |  

Tamakuwala, S., J. Lavji and R. Patel, 2018. Quality identification of tomato using image processing techniques. Intl. J. Electric. Electron. Data Commun., 6: 66-70.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved