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首页> 外文会议>Advances in Image and Video Technology; Lecture Notes in Computer Science; 4319 >A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation
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A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation

机译：结合边界平滑度和区域均匀性的图像融合新准则

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摘要

A novel joint region merging criterion combining region homogeneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method.
机译：提出了一种结合区域均匀性和边界平滑度的新型联合区域合并准则。在某些情况下，利用区域同质性或边缘完整性或两者兼而有之的分水岭分割方法可以取得良好的效果。但是，对于复杂的场景（例如，车窗上反射有不规则路边物体的车辆图像），它往往会给出不希望的分割结果，而区域边界并不位于实际的物理边界上。为了改善这些复杂场景的分割，我们建议将边界平滑度的其他度量合并到新的联合准则中。在此基础上，提出了边界平滑度的仿射变换不变性度量，该度量是从边界的傅立叶描述符获得的频率上能量分布函数的等效宽度。本文给出了实验结果和评估结果，以证明该方法的优点。

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