False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation

机译：无监督峰谷滑移图像分割中的虚峰避免均值漂移方法

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

The mean shift (MS) algorithm is sensitive to local peaks. In this paper, we show both empirically and analytically that when using sample data, the reconstructed PDF may have false peaks. We show how the occurrence of the false peaks is related to the bandwidth h of the kernel density estimator, using examples of gray-level image segmentation. It is well known that in MS-based approaches, the choice of h is important: we provide a quantitative relationship between false peaks and h. For the gray-level image segmentation problem, we provide a complete unsupervised peak-valley sliding algorithm for gray-level image segmentation.

机译：均值漂移（MS）算法对局部峰敏感。在本文中，我们从经验和分析上都表明，当使用样本数据时，重建的PDF可能会出现假峰。我们使用灰度级图像分割的示例来说明伪峰的出现与内核密度估计器的带宽h如何相关。众所周知，在基于MS的方法中，h的选择很重要：我们提供了假峰和h之间的定量关系。对于灰度图像分割问题，我们为灰度图像分割提供了一个完整的无监督峰谷滑动算法。

著录项

来源
《Biennial Australian Pattern Recognition Society Conference(DICTA2003) v.2; 2003; Sydney; AU》|2003年|P.581-590|共10页
会议地点 Sydney(AU);Sydney(AU);Sydney(AU)
作者
Hanzi Wang; David Suter;
展开▼
作者单位

Department of. Electrical. and Computer Systems Engineering Monash University, Clayton 3800, Victoria, Australia;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
关键词

相似文献

外文文献
中文文献
专利

1. Segmentation and localisation of whole slide images using unsupervised learning [J] . Hiary H., Alomari R.S., Chaudhary V. Image Processing, IET . 2013,第5期

机译：使用无监督学习对整个幻灯片图像进行分割和定位
2. A Spectral Band Based Comparison of Unsupervised Segmentation Evaluation Methods for Image Segmentation Parameter Optimization [J] . Hasan TONBUL, Taskin KAVZOGLU International Journal of Environment and Geoinformatics . 2020,第2期

机译：基于光谱频带基于对图像分割参数优化的无监督分段评估方法的比较
3. Unsupervised Multi-Spectral Satellite Image Segmentation Combining Modified Mean-Shift and a New Minimum Spanning Tree Based Clustering Technique [J] . Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2014,第3期

机译：结合均值漂移与最小最小生成树的聚类新技术的无监督多光谱卫星图像分割
4. False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation [C] . Hanzi Wang, David Suter Biennial Australian pattern recognition society conference . 2003

机译：避免针对无监督峰谷滑动图像分割的平均移位方法
5. User-Centered Design and Evaluation of Interactive Segmentation Methods for Medical Images =Conception et évaluation orientées utilisateur des méthodes de segmentation interactives des images médicales [D] . Gueziri, Houssem-Eddine. 2017

机译：以用户为中心的医学图像交互式分割方法的设计和评估=以用户为中心的医学图像交互式分割方法的设计和评估
6. Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery [O] . Allison Lassiter, Mayank Darbari 2020

机译：评估非常高分辨率多光谱空中图像中城市植被的无监督分割的替代方法
7. Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods. [O] . Koniusz, P, Mikolajczyk, K 2009

机译：基于分割的兴趣点和无监督图像分割方法的评估。

False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation

摘要

著录项

相似文献

相关主题

期刊订阅