DocumentCode :
2768900
Title :
A Comparison of 2D Moment Based Description Techniques for Classification of Bamboo Plant
Author :
Singh, Krishna ; Gupta, Indra ; Gupta, Sangeeta
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India
fYear :
2011
fDate :
7-9 Oct. 2011
Firstpage :
15
Lastpage :
20
Abstract :
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.
Keywords :
Fourier analysis; feature extraction; image classification; image resolution; image retrieval; object recognition; 2D moment based description techniques; Hu moment; automated bamboo species recognition system; bamboo culm sheath; bamboo plant classification; generic Fourier descriptor; generic Fourier moment; multiresolution analysis; retrieval performance; Accuracy; Image color analysis; Image recognition; Pattern recognition; Reliability; Shape; Vectors; Hu moment; confusion matrix; culm sheath; generic Fourier moment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
Type :
conf
DOI :
10.1109/CICN.2011.4
Filename :
6112819
Link To Document :
بازگشت