一种新的基于Mean-Shift的室外图像分割算法
new image segmentation algorithm based on Mean-Shift for outdoor image
提出一种基于均值偏移的户外图像快速分割算法，使其能够满足基于视觉的户外移动机器人图像处理的快速性。 阐述了均值偏移的基本原理，得到了图像快速分割的处理方法：对图像进行尺度空间变换，使用均值偏移算在特定的颜色空间上对图像进行分割。 通过对多种户外环境下采集到的实际图像进行实验，表明该算法对户外图像快速分割取得了良好效果
In this paper, an improved outdoor color image segmentation algorithm based on Mean-Shift was proposed in this article, the real-time requirement of the image processing for visual navigation could be satisfied by the algorithm. It presented the theory of Mean-Shift firstly, and then processed fast color image segmentation algorithm by using a scale transformation method. The experiment results indicates that the efficiency of the segmentation is greatly optimized.
覃征、杨晓
摄影技术电子技术应用计算技术、计算机技术
均值偏移图像分割尺度变换
Mean-Shiftimage segmentationscale conversion
覃征,杨晓.一种新的基于Mean-Shift的室外图像分割算法[EB/OL].(2015-08-20)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/201508-110.点此复制
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