首页> 外文会议>Soft Computing in Industrial Applications, 2008. SMCia '08 >Perceptual image segmentation using fuzzy-based hierarchical algorithm and its application to dermoscopy images
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Perceptual image segmentation using fuzzy-based hierarchical algorithm and its application to dermoscopy images

机译:基于模糊层次算法的感知图像分割及其在皮肤镜检查中的应用

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摘要

This paper proposes perceptual segmentation of natural color images using a fuzzy-based hierarchical algorithm and its application to the segmentation of dermoscopy images. A fuzzy-based homogeneity measure makes a fusion of the color features and the texture features. The proposed hierarchical segmentation method is performed in four stages: simple splitting, local merging, global merging and boundary refinement. The effectiveness of the proposed method is confirmed through computer simulations that demonstrate the applicability of the proposed method to the segmentation of natural color images and dermoscopy images.
机译:提出了一种基于模糊层次算法的自然彩色图像感知分割方法,并将其应用于皮肤镜图像分割中。基于模糊的均匀性度量将颜色特征和纹理特征融合在一起。所提出的分层分割方法分四个阶段执行:简单分割,局部合并,全局合并和边界细化。通过计算机仿真证实了该方法的有效性,该计算机仿真证明了该方法对自然彩色图像和皮肤镜图像的分割的适用性。

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