图像分割述评:基本概貌、典型算法及比较分析OACSTPCD

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.