基于二值图像轮廓跟踪算法的图像中平实物体检测

A. Kazlouski, R. Sadykhov
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引用次数: 14

摘要

图像中的目标检测是数字图像处理中许多任务的核心问题,具有广泛的应用前景。提出了一种基于二值图像轮廓跟踪算法的图像中平面物体检测算法。图像中平面物体的检测涉及到将二值图像的轮廓分解为轮廓和闭合轮廓,基于作者开发的算法:适用于二值图像的顶点检测,适用于二值图像的闭合轮廓检测。用于二值图像顶点检测的应用算法允许将二值图像轮廓分解为轮廓和闭合轮廓。研究了二值图像中轮廓跟踪算法起始点的确定问题。实验证明了该算法的鲁棒性和有效性。
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Plain objects detection in image based on a contour tracing algorithm in a binary image
Objects detection in image is a central problem to many tasks in digital image processing and therefore it has a vast range of applications. An algorithm for plain objects detection in image based on a contour tracing algorithm in a binary image is presented in this paper. The detection of plain object in image relates to the decomposition of a binary image contour into contours and closed contours and is based on the developed by the author algorithms for: an applicant for the vertex detection in a binary image, a closed contour detection in a binary image. The algorithm for an applicant for the vertex detection in a binary image allows performing the decomposition of a binary image contour into contours and closed contours. The problem of the determination of the starting point for contour tracing algorithm in a binary image is considered. The experiments show the robustness and the efficiency of the algorithm.
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