Image segmentation in image processing to image analysis in this transition process plays a very important role, it is the core of image engineering , image segmentation research has important theoretical and practical value . Introduces the basic theory and common methods of image segmentation, using Matlab platform threshold segmentation, segmentation area characteristics , edge segmentation, segmentation of fingerprint image for a detailed analysis and comparison , each of these methods of image simulation and analysis simulation efficiency and effectiveness. Experiments show that the image segmentation algorithm based on Matlab to achieve, both simple and fast , and can get a good segmentation.%图像分割在图像处理过渡到图像分析这个过程中起着非常重要的作用,它是图像工程的核心,图像分割的研究具有重要的理论和应用价值。介绍了图像分割的基本理论和常用方法,借助Matlab平台对阈值的分割、区域特性的分割、边缘分割、指纹图像的分割方法进行了详细的分析比较,分别对这些方法进行了图像仿真,并分析了仿真效率与效果。实验表明,基于Matlab实现的图像分割算法,既简单快速,又能得到很好的分割效果。
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