An Identification Algorithm of Insects Wing Based on Grid

Abstract:

In order to identify and classify insects wing, a new identification algorithms of insects wing was presented in this paper. Wing image was divided into several grids in this algorithm, and according to the importance of the wing features based on every grid, targeted to set the weight for each grid and calculate the final similar, the result of comparison of wing features will be more comprehensive and accurate. Experimental results show that the proposed algorithm will be more accurate to compare wing features, and then identify the insect species.

• Periodical: Applied Mechanics and Materials (Volumes 80-81)
• Pages: 1232-1236
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.80-81.1232
• Online since: July 2011
• Authors: Zhong Liang Deng, Dan Dan Shi
• Keywords: Grid, Insects Identification, Similar, Wing

References

[1] Pan Pengliang, Yang Hongzhen, Shen Zuorui, et al. Wing mathematical morphological characteristics in the research on the application of butterfly classification and identification, J. Entomotaxonomia. 30(2008) 287-300.

[2] Pan Pengliang, Shen Zuorui, Gao Lingwang, et al. Preliminary study of the automatic acquisition of Insects wing characters, J. Entomotaxonomia. 30(2008) 72-80.

[3] Qi Liying. A study of Automated Insect Identification Based on Multi-Features Synthesis, J. Journal of Anhui Agri. Sci. 37(2009) 1380-1381.

[4] Yu Xinwen, Shen Zuorui, Gao Lingwang, et al. Feature measuring and extraction for digital image of insects, J. Journal of China Agricultural University. 8(2003) 47-50.

[5] Zhang Min, Wang Chunhong. Study on key technology of content-based image retrieval system, J. Journal of Henan Institute of Science and Technology. 37(2009) 66-68.

[6] Wu Liming, Peng Wenjun. The method of using wing characters to classify bees, J. Apiculture of China. 55(2004) 41.

[7] Yu Xinwen, Shen Zuorui, Gao Lingwang, et al. Feature measuring and extraction for digital image of insects, J. Journal of China Agricultural University. 8(2003) 47-50.

[8] Deng Zhongliang, Huang Tao. A calculation insect wing topography method of similarity, J. process computer. 23(2010) 46-47.

[9] Colorni A., Dorigo M., and Maniezzo V. Distributed optimization by ant colonies. Proceedings of ECAL'91, European Conference on Artifical Life, Elsevier Pulishing, Amsterdam, (1991).

[10] Liu J D. The expert system for identification of Tortricinae (Lepidoptera) using image analysis of, J. venation. 1996. 3: 1-8.

[11] S. Parpielli S.,H. S Lopes, A. Freitas A., Data mining with ant colony optimization algorithm. [M]. [S.I. ]in IEEE transactions on Evolutionary Computation, Volume 6, (2002).

DOI: 10.1109/tevc.2002.802452

[12] Delorme X., X. Gandibleus, and J. Rodrigues. GRASP for set packing problems. European Journal of Operational Research. 153(2004) 564-580.

DOI: 10.1016/s0377-2217(03)00263-7