International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 83 - Issue 15 |
Published: December 2013 |
Authors: Ankur M Vyas, Bjial Talati, Sapan Naik |
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Ankur M Vyas, Bjial Talati, Sapan Naik . Colour Feature Extraction Techniques of Fruits: A Survey. International Journal of Computer Applications. 83, 15 (December 2013), 15-22. DOI=10.5120/14524-2915
@article{ 10.5120/14524-2915, author = { Ankur M Vyas,Bjial Talati,Sapan Naik }, title = { Colour Feature Extraction Techniques of Fruits: A Survey }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 83 }, number = { 15 }, pages = { 15-22 }, doi = { 10.5120/14524-2915 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Ankur M Vyas %A Bjial Talati %A Sapan Naik %T Colour Feature Extraction Techniques of Fruits: A Survey%T %J International Journal of Computer Applications %V 83 %N 15 %P 15-22 %R 10.5120/14524-2915 %I Foundation of Computer Science (FCS), NY, USA
There is a great significance of agriculture in India. Fruit grading can improve the revenue of fruits. In the automated fruit grading system the most important feature is its colour. So for any automated fruit grading system one should have the idea of colour space and segmentation needs to be performed. As colour feature extraction has a vital role in grading, here a review of various colour feature extraction techniques in detail is provided.