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Fast image segmentation based on multilevel banded closed-form method

机译:基于多级带状闭合形式方法的快速图像分割

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摘要

In this paper, a fast interactive image segmentation method is developed. The method combines the GrabCut algorithm with the multilevel banded closed-form (MLBCF) technique to achieve the acceleration. The GrabCut method is first applied on a low-resolution image to obtain the segmentation. The coarse labeling is then propagated to the higher-resolution level by using the banded closed-form method with the locally linear assumption. Some post-processing, such as alpha thresholding, probability classification and multi-seeds banded Graph Cuts, is applied to assign the final labeling. For experimental comparison, we also implement the multilevel banded Graph Cuts (MLBGC) method based on GrabCut algorithm. Experiments using synthesized noisy images and real natural scene images demonstrate the superior performance of the proposed method in terms of segmentation accuracy, computation efficiency and memory usage.
机译:本文提出了一种快速的交互式图像分割方法。该方法将GrabCut算法与多级带状封闭形式(MLBCF)技术结合起来以实现加速。首先将GrabCut方法应用于低分辨率图像以获得分割。然后,使用带局部线性假设的带状封闭形式方法,将粗略标签传播到更高的分辨率级别。一些后期处理(例如Alpha阈值化,概率分类和多种子带状图切割)将用于分配最终标签。为了进行实验比较,我们还基于GrabCut算法实现了多级带状图割(MLBGC)方法。使用合成的噪声图像和真实自然场景图像进行的实验证明了该方法在分割精度,计算效率和内存使用方面的优越性能。

著录项

  • 来源
    《Pattern recognition letters》 |2010年第3期|216-225|共10页
  • 作者单位

    Institute of Systems Engineering, Huazhong University of Science and Technology. Wuhan 430074, China;

    School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

    Institute of Systems Engineering, Huazhong University of Science and Technology. Wuhan 430074, China;

    Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637610, Singapore;

    School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    graph cuts; closed-form; multi-seeds; interactive image segmentation;

    机译:图切;封闭形式多种子交互式图像分割;

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