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昆虫数学形态学研究及其应用展望
引用本文:沈佐锐,于新文.昆虫数学形态学研究及其应用展望[J].昆虫学报,1998,41(-1):140-148.
作者姓名:沈佐锐  于新文
摘    要:数学形态学是用数学方法描述或分析一个物体图象的形状的理论和方法,是图象处理和图象识别技术的发展,但在生物学当中的应用还很有限。本文介绍了一个新的分支学科——昆虫数学形态学,包括三方面的内容:①昆虫数学形态学技术研究,涉及昆虫图象数字化技术和昆虫图象处理与识别技术;②昆虫数学形态学理论研究,主要以昆虫图象的解释和理解研究及昆虫数学形态学与分类学等学科的关系研究为主;③昆虫和昆虫数学形态学应用基础研究,涉及昆虫数学形态学数据库及其分析软件开发,昆虫图象的机器学习和计算机视觉等内容。昆虫数学形态学理论和方法与计算机视觉技术相结合,在害虫虫情监测、昆虫多媒体专家系统的构建等方面具有广阔的应用前景。

关 键 词:昆虫  数学形态学  数字形态学  图象处理  模式识别  计算机视觉  

PERSPECTIVE AND RESEARCH OF MATHEMATICAL INSECTMORPHOLOGY AND ITS APPLICATION
Shen Zuorui,Yu Xinwen.PERSPECTIVE AND RESEARCH OF MATHEMATICAL INSECTMORPHOLOGY AND ITS APPLICATION[J].Acta Entomologica Sinica,1998,41(-1):140-148.
Authors:Shen Zuorui  Yu Xinwen
Abstract:Mathematical morphology is a subject using mathematical methods to describeor analyze the shape of an object. Facilitated by computer science and technology in rapid development, mathematical morphology has been paid more and more attentions in image processing and pattern recognition field. However, its applications in biology are still sparse and needed to enhance. A new interdisciplinary branch, mathematical insect morphology, is in troduced in this paper. It includes three aspects: 1. Technological study of mathematical insect morphology, involving digitization, processing and recognition technique of insect images; 2. Theoretical research of mathematical insect morphology on understanding of insectimages and the relationship with insect taxonomy; and 3. Practical applications of mathematical insect morphology, starting with the development of databases and analytical software ofmathematical morphological data from insect research, and looking forward to the development of computer vision and machine learning of insect images. Besides, mathematical insectmorphology will have so many applicable fields such as to develop automatic pest monitoring system or multimedia expert system of insect identification in the near future.
Keywords:insect  mathematical morphology  digital morphology  image processing  pat  tern recognition  computer vision
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