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A Technique for Roof-Edge Detection Based on Morphological

机译:基于形态学的屋顶边缘检测技术

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摘要

In order to monitor, analyze, evaluate our skin about its aging, its health, and its alimentary status, presently, the most efficient way is to analyze the dermal images using modern digital image processing techniques. As the preprocessing of this skin analyzing system, in this paper, we propose a method for extracting the centerlines of the creases meshing over our dermis in a clinical dermal image. The method includes the following steps : First of all, Feature space transformation, this is to map the pixels in the grayscale space into feature space according to the regional energy of these pixels. Secondly, Filtering, a morphological filter is designed to remove noises and spurious minima, the amount of filtering can be manually tuned to get a different result. Thirdly, marker selection, using the Top-hat transformation based on morphological reconstruction to get a reliable set of markers. Finally, Watershed transformation, the scheme is used to extract the central axes and form a network of lines. The experiment shows that this method is an effective one for the purpose of extracting roof-edge centerlines.
机译:为了监视,分析和评估我们的皮肤的老化,健康和营养状况,目前,最有效的方法是使用现代数字图像处理技术来分析皮肤图像。作为该皮肤分析系统的预处理,在本文中,我们提出了一种在临床皮肤图像中提取在我们的真皮上形成的折痕中心线的方法。该方法包括以下步骤:首先,特征空间变换,这是根据这些像素的区域能量将灰度空间中的像素映射到特征空间中。其次,滤波是一种形态滤波器,旨在消除噪声和虚假极小值,可以手动调整滤波量以获得不同的结果。第三,选择标记,使用基于形态重建的礼帽变换获得可靠的标记集。最后,通过分水岭变换,该方案用于提取中心轴并形成线网。实验表明,该方法对于提取屋顶边缘中心线是一种有效的方法。

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