Plant species identification by using scale invariant feature transform (SIFT) and grid based colour moment (GBCM)

2013 IEEE Conference on Open Systems, ICOS 2013

Volumn , Issue , 2013, Pages 226-230

  Che Hussin, Nuril Aslina ^a   Jamil, Nursuriati ^a   Nordin, Sharifalillah ^a   Awang, Khalil ^a  

^a UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Colour moment; Euclidean distance; Plant leaf identification; Scale invariant feature transform

Indexed keywords

COLOR; FEATURE EXTRACTION; PLANTS (BOTANY);

COLOUR MOMENTS; EUCLIDEAN DISTANCE; FEATURE EXTRACTION METHODS; IDENTIFICATION ACCURACY; NATURAL ILLUMINATION; PLANT LEAF; PLANT SPECIES IDENTIFICATION; SCALE INVARIANT FEATURE TRANSFORMS;

IMAGE PROCESSING;

EID: 84897696295     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOS.2013.6735079     Document Type: Conference Paper

References (15)

1. A Arora, A Gupta, N. Bagmar, S. Mishra, and A Bhattacharya, "A Plant Identification System using Shape and Morphological Features on Segmented Leaflets", Team IITK, CLEF 2012.
2. B .Sathya, S.Mohana Valli, S.Raju, and V. Abhai Kumar, "Content Based Leaf Image Retrieval (CBUR) Using Shape, Colour and Texture Features," Indian Journal of Computer Science and Engineering (USE), vol 2 (2), 2011, pp. 202-211.
3. D. Ying, and S. Yang, "An Image Retrieval Approach Based on Annular Colour Moments and Energy Moments Features," Proc. 2nd International Conference on Future Computer and Communication, 2010, pp. 437-441.
4. D. Chuan-Min Zhai and Ji-Xiang, "Applying Extreme Learning Machine to Plant Species Identification," Proc. IEEE International Conference on Information and Automation. Zhangjiajie, China: IEEE, 2008, pp. 879-884.
5. P. Hiremath and J. Pujari, "Content based Image Retrieval based on Colour, Texture and Shape Features Using Image and Its Complement." Proc. International Journal of Computer Science and Security, vol 1 (4), pp. 44-50, 2011.
6. H. Yu, M. Li, H-J. Zhang and J. Feng, "Colour Texture Moment for Content-Based Image Retrieval." Proc. International Conference on Image Processing, vol 3, 2002, pp. 929- 932.
7. A Kadir, L.Edi Nughoro, ASusanto and P. I. Santos, "Leaf Classification Using Shape, Colour, and Texture features." Int. Journal of Computer Trends and Technology, pp. 225-230, 2012.
8. D.G. Lowe, "Distinctive image features from scale-invariant keypoints." International Journal of Computer Vision, vol. 60(2), pp. 91-110, 2004.
9. D.G. Lowe, "Local feature view clustering for 3D object recognition." Proceedings of the I EEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001, vol 1, pp. 1682-1688.
10. M.-y' Chen, A Hauptmann, and H. Li, "Combining motion understanding and key frame image: analysis for broadcast video infonnation extraction."Evolutionary and Bio-Inspired Computation: Theory and Applications IVSPIE Defense, Security, and Sensing, 2010.
11. Wu, Stephen Gang, Forrest Sheng Bao, Eric You Xu, Yu-Xuan Wang, Yi-Fan Chang, and Qiao-Liang Xiang, 2007"A Leaf Recognitoion Algorithmfor Plant Classification Using Probabilistic Neural Network." Proc. IEEE International Symposium Signal Processing and Information Technology, 2007, pp.11-16.
12. Y.G. Jiang, J. Yang, C-W. Ngo and AG. Hauptmann, "Representations of Key point-Based Semantic Concept Detection: A Comprehensive Study," IEEE Transactions on Multimedia, vol. 12 (1), pp. 42-53, 2010.
13. Z. Shanwen and K-W. Chau,"Dimension Reduction Using SemiSupervised Locally Linear Embedding for Plant Leaf Classification." Springer-Verlag, 2009, pp. 48-955.
14. Z. Shanwen and Y. F., 2010 "Plant Leaf Classification Using Plant Leaves based on Rough Set." Proc. International Conference on Computer Application and System Modelling (ICCASM 2010), 2010, pp. 521-525.
15. Zalikha Zulkifli, Plant Leaf Identification Using Moment Invariants &General Regression Neural Network. Master Thesis, Skudai, Universiti Teknologi Malaysia, 2009.