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Anisotropic Diffusion with Morphological Reconstruction and Automatic Seeded Region Growing for Color Image Segmentation

机译:各向异性扩散与形态重建和生长彩色图像分割的自动播种区域

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A watershed color image segmentation algorithm by integrating anisotropic diffusion with morphological reconstruction and automatic seeded region growing is proposed in this paper, the anisotropic diffusion with morphological is used   for image smoothing, which can maintain image edges with noises eliminated, as a result, the watershed¡¯s over-segmentation is decreased effectively. And then, an automatic seeded region growing algorithm based on the regions similarity of mean hue value and mean saturation value of the watershed segmentation result is developed. In order to reduce the number of small regions, a small region removing algorithm is also designed. The experimental results have demonstrated that algorithms can obtain better segmentation results compared with traditional algorithms.
机译:本文提出了一种流域彩色图像分割算法,通过将各向异性扩散与形态重建和自动播种区域生长进行了分化,与形态学的各向异性扩散用于图像平滑,这可以保持图像边缘,结果是流域的噪声过度分割有效减少。然后,开发了一种基于分层分段结果的平均色调值和平均饱和值的区域相似性的自动播种区域生长算法。为了减少小区域的数量,还设计了一种小区域去除算法。实验结果表明,与传统算法相比,算法可以获得更好的分段结果。

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