Toward automatic quality detection of Jasmenum flower-Reference-Cited by-同舟云学术

Toward automatic quality detection of Jasmenum flower

Published:2017-09 Issue:3 Volume:3 Page:148-153
ISSN:2405-9595
Container-title:ICT Express
language:en
Short-container-title:ICT Express

Author:

Krishnaveni S.^ORCID,Pethalakshmi A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference20 articles.

1. Implementation of image based flower classification system;Kulkarni;Int. J. Comput. Sci. Bus. Inform.,2014

2. Flower classification using combined a*b*Color and fractal-based texture feature;Sari;Int. J. Hybrid Inf. Technol.,2014

3. Fruit recognition using color and textur features;Arivazhagan;J. Emerg. Trends Comput. Inform. Sci.,2010

4. Woo Chaw Seng, Seyed Hadi Mirisaee, A new method for fruits recognition system, in: IEEE International Conference on Electrical and Engineering Informatics, 2009, pp. 130–134, ISBN 978-1-4244-4913-2.

5. Nearest neighbour for histogram-based feature extraction;Mohamad;Procedia Comput. Sci.,2011

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