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A New Edge Fusion Algorithm Based on Finite Element Method

机译:基于有限元的边缘融合新算法

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摘要

Edge detection based on multiscale wavelet transform is one of the important algorithms in images edge detection. In order to give attention to both of strongly antinoise in large scale and accurately locate edge in small scale, a new edge detection method based on fields' fusion was developed. Firstly, the effective edge envelope of different edge model based on compact, symmetry and smooth function were discussed, Secondly, in the range of effective edge envelope of different edge model, a new edge detection, that was finite element methods edge fusion algorithms, was adopted for local edge of different scale edge field. The validity of the algorithm was proved by experiments on natural data.
机译:基于多尺度小波变换的边缘检测是图像边缘检测的重要算法之一。为了兼顾大范围的强抗噪和小范围的边缘精确定位,提出了一种基于场融合的边缘检测新方法。首先讨论了基于紧性,对称性和光滑函数的不同边缘模型的有效边缘包络;其次,在不同边缘模型的有效边缘包络范围内,提出了一种新的边缘检测方法,即有限元方法边缘融合算法。用于不同比例边缘场的局部边缘。通过对自然数据的实验证明了该算法的有效性。

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