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An Effective Image Segmentation Algorithm Method Based on Compound Morphology Filter and Modified Watershed

机译:一种基于复合形态滤波器和修改流域的有效图像分割算法方法

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To describe an effective method for image segmentation algorithm, which is based on the compound morphology filter and modified watershed? First of all, we define the compound morphology filter with opening-closing operators and closing-opening operators, which overcomes the over-segmentation of the traditional water shed algorithm. Secondly, we design a new morphology water shed with inner and external marks, and also define the regional minima to inner marks from the low frequency components of the gradients and external marks between the region; the inner and external marks change along with the image information, thus which has realized to the image information adaptive segmentation. Experimental result show that the new algorithm can overcome under the low contrast is not high enough accuracy in the traditional morphology watershed segmentation algorithm, which could accurately obtain the image edge and contour.
机译:描述图像分割算法的有效方法,基于复合形态滤波器和修改的流域?首先,我们将复合形态过滤器定义开闭式操作员和闭合开放式运营商,克服了传统水血算法的过分分割。其次,我们设计了一种与内部和外部标记的新形态水流,并且还将区域最小值定义为来自该地区之间的梯度和外部标记的低频分量的内部标记;内部和外部标记随图像信息而改变,因此已经实现到图像信息自适应分割。实验结果表明,新算法在低对比度下克服的终算法在传统的形态流域分割算法中不够高,可以准确地获得图像边缘和轮廓。

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