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奇异值分解在粮虫检测系统中的应用

Application of singular value decomposition to stored-grain pest detection system
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摘要 简介了基于图像处理的粮虫检测系统的结构,阐明了图像增强和图像压缩对于检测系统的意义。接着介绍了奇异值分解的基本理论,并应用该理论实现了图像的增强,还原和压缩。基于Matlab7.1仿真实验表明将奇异值分解应用于粮虫检测系统中是有效的。 The stored-grain pest detection system based on image processing is illustrated.The importance of image enhancement,restoration,compression for the system is pointed out.The paper introduces the basis of singular value decomposition and its application to image enhancement and compression.The simulated experiments using Matlab7.1 demonstrates that the application of singular value decomposition to the detection system is effective.
作者 牟怿 周龙
出处 《武汉工业学院学报》 CAS 2010年第3期68-70,89,共4页 Journal of Wuhan Polytechnic University
基金 湖北省自然科学基金项目(2003ABA053) 湖北省教育厅重点科研计划项目(2003A001) 武汉市青年科技晨光计划项目20035002016_09)
关键词 图像增强 图像压缩 奇异值分解 Matlab7.1 image enhancement image compression singular value decomposition Matlab7.1
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