| 多特征组合和图切割支持的物体/背景分割方法 |
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| 引用本文： | 邓宇,李华. 多特征组合和图切割支持的物体/背景分割方法[J]. 计算机研究与发展, 2008, 45(10) |
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| 作者姓名： | 邓宇 李华 |
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| 作者单位： | 中国科学院计算技术研究所智能信息处理重点实验室,北京,100190;中国科学院计算技术研究所智能中心,北京,100190 |
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| 基金项目： | 国家科技攻关计划课胚奥运科技专项基金项目，国家"九七三"重点基础研究发展规划基金项目，国家自然科学基金重点项目 |
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| 摘 要： | 运动物体分割是计算机视觉应用领域中的一个基本问题,阴影和亮度变化均易造成分割结果错误.通过组合多种图像特征,实现了一种新的检测运动物体方法.一方面,组合图像的颜色、梯度和纹理特征,利用梯度和纹理信息时亮度变化不敏感的特性,提高运动物体分割的准确性;另一方面,使用图切割算法对物体/背景进行分割,在不影响整体分割结果前提下修正局部判别错误的像素点,分割结果噪声少且稳定性强.对不同场景的分割结果表明,该方法是高效的和实用的.
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| 关 键 词： | 运动物体分割 颜色 梯度 纹理 多特征组合 图切割 |
Combination of Multiple Features for Object Background Segmentation Using Graph Cut |
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| Deng Yu,Li Hua. Combination of Multiple Features for Object Background Segmentation Using Graph Cut[J]. Journal of Computer Research and Development, 2008, 45(10) |
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| Authors: | Deng Yu Li Hua |
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| Affiliation: | Deng Yu , Li Hua(Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190)(National Research Center for Intelligent Computing Systems,Beijing 100190)(Graduate University of Chinese Academy of Sciences,Beijing 100049) |
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| Abstract: | Moving objects segmentation is a fundamental problem in many computer vision applications,which aims at detecting regions corresponding to moving objects such as vehicles and people in natural scenes.It is known to be a significant and difficult problem.Changes from illumination and shadow make segmentation difficult to process quickly and reliably.In this paper,a novel method is proposed to detect moving objects based on the linear combination of multiple features.Firstly,the color,gradient and texture fea... |
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| Keywords: | moving objects segmentation color gradient texture multiple feature combination graph cut |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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