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结合高斯加权距离图的图像边缘提取

DOI: 10.11834/jig.20140108

Keywords: 高斯加权距离,边缘提取,CV模型,灰度直方图,类中心

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Abstract:

目的边缘是图像最为重要的特征之一,是图象分析与识别的基础。对于目标的分割、测量而言,边缘提取的连续性与抗噪性显得尤为重要,其可通过区域增长等算法提取目标区域,为抠图、统计测量提供必要的支持,本文以实现目标轮廓的有效提取为目的,提出一种结合高斯加权距离图的图像边缘提取方法。方法首先通过计算分块区域内像素间的高斯加权距离,获得高斯加权距离图,该图与原图相比,不仅可以较好地突出边缘轮廓,而且可以统一背景灰度。其次通过分析高斯加权距离图的灰度直方图,将灰度分为两类并计算类中心,以此作为无边缘活动轮廓(CV)模型的c1和c2参数,最后通过CV模型求解图像边缘。结果与其他边缘提取算法相比,该算法不仅具有较好的抗噪性,同时可以保证图像边缘提取的连续性。结论实验结果验证了本文算法的有效性。

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