精品文档---下载后可任意编辑[摘要]现在图像处理技术已经应用于多个领域当中，其中，纸币识别，车牌识别，文字识别和指纹识别已为大家所熟悉。图像分割是一种重要的图像技术,它不仅得到了人们的广泛重视和讨论,也在实际中得到了大量的应用。它是处理图像的基本问题之一，是图像处理图像分析的关键步骤。图像识别的基础是图像分割，其作用是把反映物体真实情况的，占据不同区域的，具有不同性质的目标区分开来，并形成数字特性。关于图像分割的方法已有上千种，本文将介绍几种主流的方法，并分析各自的特性，利用 LabVIEW 平台实现两种阈值方法分割图像，展现实验现象，比较两种方法的处理结果。[关键词]图像分割阈值法大津法双峰法 LabVIEWThe programdesigning of imagesegmentation based on LabVIEW[Abstract] Image processing technology hasbeenused in many fields, the banknote recognition, license plate recognition, character recognitionandfingerprint recognitionhas beenfamiliar to everyone. Image segmentation is an importantimagetechnology,people not only attach importance to it and research it，but also use it in many place. It isoneofthebasic problemsoftheimage processing, and it isa key stepoftheimage processingimage analysis. The image recognitionbased onimage segmentation, the function of which is making a distinction between the area of object's real situation,the area in different places and the area with different characteristic and forming a digital characteristic. There are thousands ofmethodsofimage segmentation, this article will introduce severalmainstreammethod,andanalyze their respectivecharacteristics,use this two ways to make image segmentation with LabVIEW，and show the phenomenon of experiment，campare the treatment result of the two methods.[Keyword] Image segmentationThreshold OTSUbimodaLabVIEW目录引言 11 图像分割论述 1 1.1 图像分割的定义 1 1.2 图像分割方法综述 2 1.2.1 边缘检测法 2 1.2.2 阈值分割法 2 1.2.3 基于区域的分割 3 2 图像阈值分割算法 3 2.1...
