一种基于相对模糊连通度的交互式序列图像快速分割算法

田春娜; 高新波; 哈力旦.A

一种基于相对模糊连通度的交互式序列图像快速分割算法

田春娜^{①;高新波},
高新波,
哈力旦.A

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出版历程
- 收稿日期: 2004-05-08
- 修回日期: 2004-08-23
- 刊出日期: 2005-10-19

A Fast Interactive Segmentation Algorithm of Image Sequences Based on Relative Fuzzy Connectedness

Tian Chun-na^{①;高新波},
Gao Xin-bo,
Halidan.A

摘要

摘要: 在基于相对模糊连通度的交互式图像分割方法的基础上提出了一种序列图像分割的快速算法。对于单幅图像，新算法在保持分割精度的同时，运行速度提高了3倍。作为该算法的扩展，一方面将原算法中单目标分割推广到多目标分割，另一方面将单帧图像的分割推广到序列图像的分割，实现了复杂背景下多目标的图像分割和图像序列的批处理分割。并进行了分割结果的后处理，提取出目标的单像素宽度的光滑边缘。用人造图像和实际的医学图像和图像序列所做的测试实验取得了令人满意的分割结果。
- 模糊连通度;交互式图像分割;序列图像分割;多目标分割
Abstract: A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the existing algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex background and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction.

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