计算机技术与发展2024，Vol.34Issue(1)：1-8,8.DOI:10.3969/j.issn.1673-629X.2024.01.001
图像分割述评:基本概貌、典型算法及比较分析
Review of Image Segmentation:Basic Overview,Typical Algorithms and Comparative Analysis
摘要
Abstract
As an important field of computer vision,image segmentation plays an important role in medical image analysis,automatic driving,wearable computing and so on,and has wide application.In order to better understand the development and research status of image segmentation,we make a thorough review and systematic review of image segmentation.Firstly,we explain the meaning of image segmentation and its workflow and indicators.Then,the image segmentation algorithms are classified according to the time span-based on threshold and region,based on graph theory and clustering,as well as image segmentation based on deep learning.The representative algorithms of each type of methods are analyzed and introduced,and their basic ideas,advantages and disadvantages are comprehensively summarized.Finally,we look forward to the current problems and future development direction in this field.Real-time image semantic segmentation,weakly supervised or unsupervised semantic segmentation and three-dimensional scene semantic segmentation are the main challenges in current research.关键词
图像分割/分割算法/语义分割/深度学习/像素分类Key words
image segmentation/segmentation algorithm/semantic segmentation/deep learning/pixel classification分类
信息技术与安全科学引用本文复制引用
张婧,张策,张茹,王宇彬,张展,苏子旸,吕为工..图像分割述评:基本概貌、典型算法及比较分析[J].计算机技术与发展,2024,34(1):1-8,8.基金项目
国家自然科学基金(61473097) （61473097）
山东省重点研发计划项目(GG201703130116,GG201703040002) （GG201703130116,GG201703040002）
2021年度山东省自然科学基金面上项目(ZR2021MF067) （ZR2021MF067）
威海市科技发展计划项目(ITEAZMZ001807) （ITEAZMZ001807）
