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PREDICTING THE DISEASES BY GRAPHCUT METHOD FOR CITRUS FRUIT
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Author(s):
V. KAVITHA, DR. M. RENUKA DEVI
Vol - 7, Issue- 12 ,
Page(s) : 464 - 470
(2016 )
DOI : https://doi.org/10.32804/IRJMST
Abstract
In the agricultural industry citrus fruit grading is a significant task by giving the best quality of the fruit. In this paper segmentation process is one of the preprocessing techniques. An automatic segmentation method is used for fruit images to predict the diseases. The graph cut method is one of the segmentation methods, which means region labeling. It will merge the similarities of regions. Due to this processing time will get decreased. It will take only the foreground image for processing i.e an object. Compared with the existing method like k-means cluster the proposed Graph Cut method will be find out the diseases and gives the best result.
- Van Huy Pham, Byung Ryong Lee, ‘’An Image Segmentation Approach For Fruit Defect Detection Using K-Means Clustering and Graph-Based Algorithm’’Vietnam J Comput Sci (2015) 2:25–33,DOI 10.1007/S40595-014-0028-3.
- P.Deepa, S.N. Geethalakshmi, ‘’A Comparative Analysis of Watershed And Color Based Segmentation For Fruit Grading’’, in the International Journal Of Soft Computing And Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-3, July 2012.
- Uravashi Solankia, Udesang K. Jaliya B And Darshak G. Thakore,’’ A Survey On Detection Of Disease And Fruit Grading ‘’, in the International Journal Of Innovative And Emerging Research In Engineering Volume 2, Issue 2, 2015 & E-ISSN: 2394 – 3343 P-ISSN: 2394 – 5494.
- Seema, A.Kumar, G.S.Gill,’’ Computer Vision Based Model For Fruit Sorting Using K-Nearest Neighbour Classifier’’, Int. Journal Of Electrical & Electronics Engg. Vol. 2, Spl. Issue 1 (2015) E-ISSN: 1694- 2310 | P-ISSN: 1694-2426.
- [5] Harmanpreet Singh, Nivit Gill, Department Of Computer Science, Punjabi University, Punjab, India ‘’Machine Vision Based Color Grading Of Kinnow Mandarin’’, Volume 5, Issue 5, May 2015 ISSN: 2277 128X International Journal Of Advanced Research In Computer Science And Software Engineering.
- Naeem Sattar, Sheikh Ziauddin, Sajida Kalsoom, Ahmad R. Shahid, Rafi Ullah, Amir H. Dar Department Of Computer Science, Comsats Institute Of Information Technology, Islamabad, Pakistan, ‘’An Orange Sorting Technique Based On Size And External Defects ‘’, 2014.
- Meng-Han Hu1, Qing-Li Dong1,3, Bao-Lin Liu1 And Pradeep K. Malakar, ‘’The Potential Of Double K- Means Clustering For Banana Image Segmentation’’, Journal Of Food Process Engineering ISSN 1745-4530, Accepted For Publication November 4, 2013.
- H.N.Patel, R.Kjain, M.V.Joshi,’’Automatic Segmentation And Yeild Measurement Of Fruit Using Shape Analysis’’, International Journal Of Computer Applications (0975 – 8887) Volume 45– No.7, May 2012.
- Zhayida Simayijiang, Stefanie Grimm,’’Segmentation With Graph Cuts’’, 2004.
- [10] Sudipta ,N. Sinha, ‘’ Graph Cut Algorithms in Vision, Graphics and Machine Learning’’, An Integrative Paperf ssinha@cs.unc.edug , University of North Carolina at Chapel Hill, 2004.
- Dr.M.RenukaDevi, V.Kavitha, “Comparison of Citrus Fruit Diseases Revealing with Data Mining and Image Processing Techniques based on Assorted Parameters”, International Conference on Computer Communication and Informatics (ICCCI -2015), January 2015, 978-1-4799-6805-3/15/$31.00 ©2015 IEEE.
- Dr.M.RenukaDevi, V.Kavitha, “Comparison of A Hybrid Filtering Technique for Denoising the Citrus Fruit Images’’, in the International Journal of Applied Engineering Research, Volume 11,Number 7, 2016 & ISSN 0973-4562.
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