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Edge detection is one of the most commonly used operations in image analysis, and
there are probably more algorithms in the literature for enhancing and detecting edges
than any other single subject. The reason for this that edges form the out
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主要讲述基于图像的形状分析和分类的理论和实践方法，是图像处理和模式识别方面的好书-Mainly about theory and practice for image-based shape analysis and classification. A good book for image processing and pattern recognition.
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Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensiona
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背景:快速的将心脏按其特征进行聚类可为后续统计分析和研究带来很大的便利.系统聚类法是将样品或变量按照其性质上的亲疏相似程度进行分类的一种多元统计方法.目的:提出用主成分一聚类分析的方法来描述心脏形态学形状并进行分类,对中国健康成年人的心脏X射线测量的各项指标进行综合评价.方法:搜集了36例健康成年人的胸片,并用MxLiteView软件手动测量了每幅胸片中代表心脏形态学形状常用的10个指标,用Matlab软件对测量指标进行主成分分析,然后对提取出的主成分进行聚类.结果与结论:主成分分析后提取出3个
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实现简单的灰度处理,主要调用BItmap函数库的内容，实现位处理功能。-This system mainly uses LabWindows/CVI and the visual software package Vision design system program. Vision has a wide range of machine vision development environment, the visual software package Vision machine vis
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