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双峰法阈值分割

于 2018-03-29 发布
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说明:  双峰法阈值分割。阈值分割法是一种基于区域的图像分割技术,原理是把图像象素点分为若干类。图像阈值化分割是一种传统的最常用的图像分割方法,因其实现简单、计算量小、性能较稳定而成为图像分割中最基本和应用最广泛的分割技术。它特别适用于目标和背景占据不同灰度级范围的图像。它不仅可以极大的压缩数据量,而且也大大简化了分析和处理步骤,因此在很多情况下,是进行图像分析、特征提取与模式识别之前的必要的图像预处理过程。图像阈值化的目的是要按照灰度级,对像素集合进行一个划分,得到的每个子集形成一个与现实景物相对应的区域,各个区域内部具有一致的属性,而相邻区域不具有这种一致属性。这样的划分可以通过从灰度级出发选取一个或多个阈值来实现。(Threshold segmentation)

文件列表:

双峰法阈值分割.docx, 13678 , 2018-03-18

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