NDLI: Non-destructive quality grading of mango (Mangifera Indica L) based on CIELab colour model and size

Content Provider	IEEE Xplore Digital Library
Author	Pandey, Rashmi Gamit, Nikunj Naik, Sapan
Copyright Year	2014
Description	Author affiliation: Department of Computer Engineering, Uka Tarsadia University, Maliba Campus, Bardoli, Gujarat, India (Pandey, Rashmi; Gamit, Nikunj; Naik, Sapan)
Abstract	In Gujarat, mango grading is done by using the human expert. Human expert grade the mangoes using hands and eyes which cause lack of objectivity, efficiency and accuracy. Automation plays a significant role to eliminate human's interaction with the goal of achieving safety, accuracy and consistency. The aim of this paper is to achieve quality standard of mango using novel colour and size based grading algorithm. In this paper, Image database is prepared with different size and colour of mango which was collected from local vendors. CIELab colour model is used to classify mango in healthy and diseased category. Dominant density range based algorithm is applied to extract colour feature. After that Healthy mango is detected. Size feature is calculated using area and diameter in order to classify in different grade. At final stage, size feature is fed to fuzzy inference system for grading.
Starting Page	1246
Ending Page	1251
File Size	1280431
Page Count	6
File Format	PDF
e-ISBN	9781479939145
DOI	10.1109/ICACCCT.2014.7019298
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Accuracy Mango Grading Databases Heating Size Classification Feature extraction Fuzzy Inference system Standards Diseases CIELab colour space
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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