A Survey on Crop Image Segmentation Methods

Hong Qingqing, Yan Tianbao, Lihan Bin
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Abstract

Nowadays, image processing technology has been applied to all walks of life, and good results have been achieved in the field of agriculture. Image segmentation is the foundation and key of image processing. In order to understand the application status of image segmentation technology in the agricultural field, this article systematically sorts out some mainstream image segmentation methods. First, it introduces segmentation methods based on threshold, clustering, edge, graph theory and superpixel segmentation, and then introduces Segmentation method based on deep learning, and prospects for future research trends. and look forward future trends.
农作物图像分割方法综述
如今,图像处理技术已经应用到各行各业,在农业领域也取得了不错的效果。图像分割是图像处理的基础和关键。为了了解图像分割技术在农业领域的应用现状,本文对一些主流的图像分割方法进行了系统的梳理。首先介绍了基于阈值、聚类、边缘、图论和超像素分割的分割方法,然后介绍了基于深度学习的分割方法,并对未来的研究趋势进行了展望。并展望未来的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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