期刊文献+

昆虫翅脉特征自动获取技术的初步研究 被引量:20

Development of the Technology for Auto-extracting Venation of Insects
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摘要 昆虫翅的形态特征是某些类群昆虫分类中的重要依据,怎样快速科学提取这些数据是昆虫数字鉴定技术中必须解决的重要问题之一。本文介绍了目前国内外这方面的进展,并介绍了DrawWing软件的详细功能。该软件能比较准确方便地提取昆虫翅轮廓和翅脉特征值,因此详细描述了其算法原理。利用该软件的DOS和Windows两种不同版本对意大利蜜蜂和昼鸣蝉的翅进行了其特征提取的实验研究,结果证明该软件可以成功提取蜜蜂翅脉特征值,但对昼鸣蝉翅处理尚存在问题。在此基础上,本文对昆虫翅脉特征自动获取技术乃至昆虫种类的计算机识别方法的进一步发展提出了讨论。 The characteristics of insect wings are essential data in insect taxonomy. How to obtain these data accurately and quickly is a crucial and must-be-soleved problem in the digital technology for insect identification automation. In this paper, DrawWing, a software tool was introduced, which can automatically get the information about the outline and venations of insect wings; and the operating principle about DrawWing was described in detail. The software has two versions, run in DOS and Windows, respectively. Both of the two versions were tested here with wing samples of Apis mellifera Linnaeus and Oncotympana maculaticollis Motsch. It was proved that the software can be used to capture vein junctions of wings the bee species (A.mellifera) successfully, opposed to the cicada species (O. maculaticollis). Thus, this way has the potential for the computer to effectively identify insect species and should be encouraged to go forth in the future.
出处 《Entomotaxonomia》 CSCD 北大核心 2008年第1期72-80,共9页 昆虫分类学报(英文)
基金 国家863项目(2007AA10Z237) 国家"十一五"科技支撑资助项目(2006BAD08A01) 北京市科技新星计划项目(2004B33)
关键词 翅脉 自动识别 图象处理 特征提取 Venation Auto-recognition Image processing
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参考文献36

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二级参考文献59

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