提出了一种基于多分段的细化描述方法

Wen-Chang Cheng
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引用次数: 0

摘要

在本研究中,我们提出了一种多片段细化描述方法。细化是二值图像处理中常用的一种预处理技术;它用于将图像中的粗元素转换为具有单个像素宽度的线条。由于线包括闭线和开线,后处理过程需要一种有效的描述方法。该方法首先识别细化线的分支点,并以此为基础,将原本相连的线段分割成多个线段。随后,我们使用OpenCV库中的查找轮廓函数来描述线段轮廓的坐标。利用封闭线的轮廓结果可以直接得到封闭线的起点和终点。相比之下,开放线的起点和终点是在使用开放线的轮廓结果之前,首先使用拐点来确定线端点的位置,然后利用线端点和分支点的相邻像素来实现。实验结果表明,该方法有效地实现了对细线的精确描述。
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The development of a multi-piecewise-based thinning description method
In this study, we proposed a multi-piecewise thinning description method. Thinning is a preprocessing technology often applied in the fields of binary image processing; it is used to transform thick elements in an image into lines with a single pixel width. Because lines include closed and open lines, an effective description method is required for post-processing procedures. Regarding the proposed method, branch points of thinning lines are first identified and used as a basis for segmenting the lines, which are originally connected, into multiple line segments. Subsequently, we employed the find contour function available in the OpenCV library to describe the coordinates of the contours of the line segments. The starting and endpoints of closed lines can be directly obtained using the contour results of closed lines. By contrast, the starting and endpoints of open lines are achieved by first using turning points to confirm the position of line-end points and employing the adjacent pixels of the line-end and branch points before the contour results of open lines can be used. The experimental results indicated that the proposed method effectively achieved accurate descriptions for thinned lines.
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