关于图像分割算法的研究

Research on Image Segmentation Algorithms

近些年来人工智能在计算机领域内,得到了越来越广泛的重视。图像处理是人工智能领域中一个重要的分支。图像分割是进行图像分析处理的第一步,也是机器视觉的重要步骤。作为特征提取和图像识别的基础,图像分割的处理结果的研究一直是数字图像处理技术研究中的热点和焦点。为了研究图像分割的方法,采用了基于边界的图像分割、基于区域的图像分割、基于阈值的图像分割和基于聚类的图像分割方法,并作出分析。

In recent years, artificial intelligence has been paid more and more attention in the field of computer. Image processing is an important branch of artificial intelligence. Image segmentation is not only the first step of image analysis and processing, but also an important step of machine vision. As the basis of feature extraction and image recognition, the research of image segmentation processing results has always been a hot spot and focus in the research of digital image processing technology. Image segmentation methods include boundary-based image segmentation, region-based image segmentation, threshold-based image segmentation and clustering-based image segmentation. This paper will introduce these methods in turn, and give an analysis of their advantages and disadvantages.