NDLI: Feature extraction on vineyard by Gustafson Kessel FCM and K-means

Content Provider	IEEE Xplore Digital Library
Author	Correa, C. Valero, C. Barreiro, P. Diago, M.P. Tardaguila, J.
Copyright Year	2012
Description	Author affiliation: Instituto de Ciencias de la Vid y el Vino, Universidad de La Rioja Complejo, Científico Tecnológico - C/. Madre de Dios, Logroño, Spain (Diago, M.P.; Tardaguila, J.) \|\| E.T.S.I. Agrónomos. Departamento de Ingeniería Rural, Universidad Politécnica de Madrid. LPF-TAGRALIA., Av. Complutense s/n Madrid, Spain (Correa, C.; Valero, C.; Barreiro, P.)
Abstract	Image segmentation is a process by which an image is partitioned into regions with similar features. Many approaches have been proposed for color images segmentation, but Fuzzy C-Means has been widely used, because it has a good performance in a wide class of images. However, it is not adequate for noisy images and it takes longer runtimes, as compared to other method like K-means. For this reason, several methods have been proposed to improve these weaknesses. Methods like Fuzzy C-Means with Gustafson-Kessel algorithm (FCM-GK), which improve its performance against the noise, but increase significantly the runtime. In this paper we propose to use the centroids generated by GK-FCM algorithms as seeding for K-means algorithm in order to accelerate the runtime and improve the performance of K-means with random seeding. These segmentation techniques were applied to feature extraction on vineyard images. Segmented images were evaluated using several quality parameters such as the rate of correctly classified area and runtime.
Starting Page	481
Ending Page	484
File Size	1176286
Page Count	4
File Format	PDF
ISBN	9781467307826
ISSN	21588473
e-ISBN	9781467307840
DOI	10.1109/MELCON.2012.6196477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Runtime Pipelines Image segmentation Feature extraction Image color analysis Accuracy
Content Type	Text
Resource Type	Article

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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
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