NDLI: The classification flesh aromatic coconuts in daylight

Content Provider	IEEE Xplore Digital Library
Author	Tantrakansakul, P. Khaorapapong, T.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Eng., Prince of Songkla Univ., Songkla, Thailand (Tantrakansakul, P.; Khaorapapong, T.)
Abstract	The purpose of this paper was to develop an efficient and accurate classification for flesh aromatic coconuts in daylight by using image processing technique. In actual implementation, the brightness of daylight was not constant as a major problem that is affecting for the classification flesh aromatic coconuts. So we need to adjust the brightness of image to have the same brightness in all images before to be classify flesh aromatic coconut. The color of the coconut's rind around the bottom of aromatic coconuts are correlated with coconuts age. Convert the region of interested in RGB color to HSV color then find the appropriately threshold and then draw 4 circular ring area into the region of interested. After that find the percentage of the white pixels of each ring and find relationship between the ring order and the percentage of the white pixels of each rings by using polynomial regression equation. The results showed that the system could classify flesh aromatic coconuts at 92.8% with single layer, 71.43% with one and half layer and 72.2% with double layer.
Starting Page	1
Ending Page	5
File Size	404755
Page Count	5
File Format	PDF
ISBN	9781479929931
DOI	10.1109/ECTICon.2014.6839757
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-14
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing Image color analysis Brightness Feature extraction adjusted brightness Polynomials Mathematical model classification The fresh aromatic coconut polynomial regression
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in