首页> 外文会议>2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications >Plain objects detection in image based on a contour tracing algorithm in a binary image
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Plain objects detection in image based on a contour tracing algorithm in a binary image

机译:基于二值图像轮廓跟踪算法的图像中普通物体检测

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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.
机译:图像中的对象检测是数字图像处理中许多任务的中心问题,因此它具有广泛的应用范围。提出了一种基于二值图像轮廓跟踪算法的图像中普通物体检测算法。图像中普通物体的检测与将二进制图像轮廓分解为轮​​廓和闭合轮廓有关,并且基于作者算法的开发,该算法用于:二进制图像中顶点检测的申请人,二进制图像中闭合轮廓检测的申请人。二进制图像。用于申请人在二进制图像中进行顶点检测的算法允许将二进制图像轮廓分解为轮​​廓和闭合轮廓。考虑了确定二值图像中轮廓跟踪算法起点的问题。实验表明了该算法的鲁棒性和有效性。

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