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Impact of Terminal Bud Quality on the Growth of Different Growth Forms of Seedlings in Tropical Secondary Forest
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作者 CHEN Yiqing ZHENG Tingting +3 位作者 XUE Yang LIN Zhipan SU Shaofeng WANG Xiaoyan 《Journal of Landscape Research》 2016年第5期113-116,共4页
Health condition and replacement time of terminal bud were selected as quality indexes of regenerated seedlings in 3 different growth forms to analyze their impact on seedling height and ground diameter. The results s... Health condition and replacement time of terminal bud were selected as quality indexes of regenerated seedlings in 3 different growth forms to analyze their impact on seedling height and ground diameter. The results showed that quality of terminal bud was related to the seedling growth, the regenerated seedlings with healthy terminal buds but no replacement experienced the largest growth amount and slight damage of terminal bud or one replacement stimulated growth of ground diameter. Multiple replacements of terminal bud would reduce seedling quality and influence its growth. Exploration of the quality characters of seedlings helped to know the dynamic features of early seedling growth, and provided theoretical support for the tending operation to improve quality of natural tropical forest. 展开更多
关键词 Natural secondary forest Quality index Health condition of terminal bud replacement frequency of terminal bud
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A Human Face Recognition Method based on the Core Characteristics under the Condition of Illumination
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《International English Education Research》 2013年第12期134-137,共4页
A core characteristics based human face recognition method under the condition of illumination is proposed according to the problem of the sharply declining human face recognition rate under the condition of lighL Wit... A core characteristics based human face recognition method under the condition of illumination is proposed according to the problem of the sharply declining human face recognition rate under the condition of lighL With this method, if human face image is affected by light and the illumination is forward or side can be judged; the images affect by illumination are processed using the strategy of frequency domain replacement, and then the key areas of human face image are divided and then are recognized using support vector machine (SVM) based on the unit of area, and finally the recognition results are integrated. The experimental result shows that this method can produce a better recognition effect than other methods in view of the problem of illumination. 展开更多
关键词 Human Face Recognition the Effect of Illumination frequency Domain replacement the Division of Areas Support Vector Machine (SVM)
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