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首页> 外文会议>Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China >Image segmentation based on local Fourier coefficients histogram
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Image segmentation based on local Fourier coefficients histogram

机译：基于局部傅立叶系数直方图的图像分割

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摘要

Image segmentation is a typical problem of image analysis. The aim is to partitioning a grayscale image to disjoint regions of coherent illuminance or homogenous texture. There are many segmentation methods of region-based, contour-based or region-contour-joint approaches to deal with different type images. Here we treat color coherent region as a special texture, and we used a new texture descriptor based on local Fourier coefficients histogram adaptive for this extended texture representation. Then a texture-based image segmentation algorithm is proposed. By utilizing the texture features of a region and the K-mean cluster algorithm we obtain a coarse segmentation of an image. Then by refining the region boundary iteratively a final segmentation can be resulted. Because our texture feature is also suitable for gray-coherence region, this algorithm can protect the gray-coherence from over-segmentation. For the same time, we reprove the boundary refinement by replaced with three steps: horizontal refinement, vertical refinement and boundary integrality checking. We also proposed the pre-processing and post-processing method for this algorithm. The segmentation performance is demonstrated on several synthesis texture images and aerial images.
机译：图像分割是图像分析的典型问题。目的是将灰度图像划分为相干照度或均匀纹理的不相交区域。有很多基于区域，基于轮廓或区域轮廓联合方法的分割方法来处理不同类型的图像。在这里，我们将颜色相干区域视为特殊纹理，并使用了基于局部傅立叶系数直方图的新纹理描述符，以适应这种扩展纹理表示。然后提出了一种基于纹理的图像分割算法。通过利用区域的纹理特征和K均值聚类算法，我们可以获得图像的粗略分割。然后，通过迭代地细化区域边界，可以得到最终的分割。由于我们的纹理特征也适用于灰度相干区域，因此该算法可以保护灰度相干免受过度分割的影响。同时，我们通过替换三个步骤来验证边界细化：水平细化，垂直细化和边界完整性检查。我们还提出了该算法的预处理和后处理方法。在多个合成纹理图像和航拍图像上证明了分割性能。

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