基于尺度空间理论的自适应边缘检测方法

X. Changsheng, M. Songde
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引用次数: 5

摘要

许多边缘检测方法存在的主要问题是对噪声敏感。边缘检测的精度与去噪效果之间存在矛盾。在最优边缘检测理论的基础上,引入了尺度空间理论。每个特定边缘对应一个最优滤波尺度(OFS),并根据最优边缘检测理论计算每个边缘点的OFS值。为了进一步消除粗糙边缘,在边缘检测过程中引入了自动阈值。基于最优尺度和自动阈值,提出了一种快速自适应边缘检测算法。实验结果表明,该算法既能达到低分辨率滤波器的去噪效果,又能达到高分辨率滤波器的边缘检测精度,并在边缘检测精度和去噪效果之间取得了较好的折衷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive edge detecting approach based on scale-space theory
The main problem existing in many edge detecting approaches is that they are sensitive to the noise. There is a conflict between the precision of edge detection and the effect of the noise removal. The scale-space theory on the basis of the optimal edge detecting theory is introduced in this paper. Each specific edge corresponds to an optimal filter scale (OFS) and the value of the OFS of each edge point is calculated based on the optimal edge detecting theory. An automatic threshold is introduced in the process of edge detection in order to eliminate the ragged edge further. Based on the optimal scale and the automatic threshold, a fast adaptive edge detecting algorithm is proposed. Experiment results demonstrate that this algorithm can get either the noise removing effect of low-resolution filter or the edge detecting precision of high-resolution filter and make a better compromise between the precision of edge detection and the effect of the noise removal.
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