By Topic

A Comparison of 2D Moment Based Description Techniques for Classification of Bamboo Plant

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Krishna Singh ; Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India ; Indra Gupta ; Sangeeta Gupta

Generic Fourier descriptor yield spectral features and have better retrieval performance due to multi-resolution analysis in both radial and circular directions of the shape. In the proposed work, an automated bamboo species recognition system based on shape features of bamboo culm sheath has been developed using Generic Fourier Moment and compare the result with Hu moment. The performance of the classifier is compared based on the classifier accuracy and conclude that the Fourier moment have significantly good results compare to Hu moment. The results obtained shows considerable recognition accuracy proving that the techniques used is suitable to be implemented for commercial purposes.

Published in:

Computational Intelligence and Communication Networks (CICN), 2011 International Conference on

Date of Conference:

7-9 Oct. 2011