图像分割技术概述

Yuheng Song, Haoyang Yan
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引用次数: 5

摘要

图像分割技术广泛应用于医学图像处理、人脸识别、行人检测等领域。目前的图像分割技术有基于区域的分割、边缘检测分割、基于聚类的分割、CNN中基于弱监督学习的分割等。本文对这些图像分割算法进行了分析和总结,并比较了不同算法的优缺点。最后,对这些算法结合的图像分割发展趋势进行了预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Segmentation Techniques Overview
The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc. This paper analyzes and summarizes these algorithms of image segmentation, and compares the advantages and disadvantages of different algorithms. Finally, we make a prediction of the development trend of image segmentation with the combination of these algorithms.
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