Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
The result shows that mean-shift is a good method of segmentation to high-resolution remote sensing images; both the velocity and accuracy of segmentation are satisfied.
结果表明：采用均值调整法进行高分辨率遥感图像分割具有较好的效果，图像分割的速度和精度均较高。
The hybrid algorithm first filters an image using mean shift technique and then segments the image with graph based segmentation algorithm.
混合算法首先利用均值漂移技术对图像进行滤波，然后再使用图分割算法对图像进行分割。
Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.
均值漂移算法是一种基于核密度梯度估计的特征空间分析算法，其实质是一种统计优化过程。
In view of characteristics for coke optical texture in micrograph, a segmentation algorithm, combining mean shift and edge confidence, is proposed.
针对焦炭显微图像中光学组织的特点，提出了一种结合均值偏移和边缘置信度的焦炭显微图像分割。
In view of characteristics for coke optical texture in micrograph, a segmentation algorithm, combining mean shift and edge confidence, is proposed.
针对焦炭显微图像中光学组织的特点，提出了一种结合均值偏移和边缘置信度的焦炭显微图像分割。
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