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《Journal of Northeast Forestry University》 2000-05
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Study on Extraction of Computer Vision Feature of Conifer Seedling

Bai Jingfeng, Zhao Xuezeng, QiangXifu, Yang Yanzhu (Harbin Institute of Technology, Harbin 150040. P. R. China)  
In this paper , in order to solve the key technological problem in conifer seedling classification system based on computer vision, a new method to extract features of conifer seedling by accurately locating feature mark points of seedling image is discussed. With carefully analyzing the morphological feature of seedling, the authors get five feature mark points and the feature point of seedling axial direction edges from two gray level matrixes. One matrix is formed by gray values of seedling image and the other is formed by gray values of the same image which is removed the background. Based on these feature mark points, twelve vision features of seedling. such as shoot height, root collar diameter, root length, shoot projected area, root projected area and so on, are extracted through corresponding calculation methods. Consequently effective feature inputs are supplied to the auto-classifier of conifer seedling. The experimental results show that this method calculates rapidly, measures accurately and is prone to be carried out.
【Fund】: 国家自然科学基金资助项目!(39670607)
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