超像素图像分割算法及其应用研究进展

doi:10.19784/j.cnki.issn1672-0172.2022.99.134

Abstract

Abstract: Visual images have always been an important source of information for people to obtain from the outside world. Image segmentation is to segment an image based on the underlying semantic information such as color, space, and texture of image pixels. Superpixel image segmentation uses superpixel blocks instead of pixels as the basic unit of image processing, which reduces the computational complexity of subsequent algorithms. Superpixel algorithm cannot take into account real-time processing and processing accuracy well, and improving processing efficiency and accuracy will be an important task for superpixel image segmentation algorithms that need continuous research and improvement.

Key words: Superpixel, Image segmentation, Remote sensing image, Smart appliances

CLC Number:

FANG Kun, XIE Shuli, QI Weiwei, WANG Boyan, WANG Rui, YAO Qing. Research progress of superpixel image segmentation algorithms and their applications[J]. Journal of Appliance Science & Technology, 2022, 0(zk): 604-607.

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Research progress of superpixel image segmentation algorithms and their applications

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