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《Journal of China Agricultural University》 2003-03
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Feature measuring and extraction for digital image of insects

Yu Xinwen, Shen Zuorui, Gao Lingwang, Li Zhihong (College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China)  
Basic methods of feature measuring and extraction of 9 shape features such as region area, boundary perimeter, hole number, eccentricity, form factor, roundness, circularity, spherecity and lobation were introduced based on insect binary image. These features were measured on 3 insect species, i.e., Helicoverpa armigera Hübner with 50 observations, Ostrinia furnacalis Guenee with 40 observations, and Ectomocoris atrox St a ··l) with 55 observations. 6 determinant features, including area, eccentricity, formfactor, perimeter, roundness and lobation, were extracted using discriminant analysis method to produce discriminant functions. The recognition result using the discriminant functions to the 3 insect species showed that the accuracy is as high as 100%, which indicating that these features are very descriptive to the insect image, and very effective to the insect image recognition.
【Fund】: 国家自然科学基金资助项目 ( 3984 0 0 0 4);; 国家高技术研究发展计划课题资助项目( 2 0 0 2AA2 4 30 31)
【CateGory Index】: S186
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