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A novel method of edge detection with Gabor wavelet based on FFTW

机译:基于FFTW的Gabor小波边缘检测新方法

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Since remote sensing images' features of substantial data and complex landmark, so it needs a higher requirement for edge detection operator. Using Gabor wavelet as the edge detection operator can get over the limitations of grads operator and Canny operator in edge detection. However, the method based on 2-D Gabor wavelet takes more time. In response to this lack of Gabor wavelet, this paper presents an edge detection method based on parallel processing of FFTW and Gabor wavelet and the experimental analysis shows this method can improve the processing speed of the algorithm greatly.
机译:由于遥感影像具有数据量大和地标复杂的特点,因此对边缘检测算子提出了更高的要求。使用Gabor小波作为边缘检测算子可以克服梯度算子和Canny算子在边缘检测中的局限性。然而,基于二维Gabor小波的方法需要更多的时间。针对Gabor小波的不足,提出了一种基于FFTW和Gabor小波并行处理的边缘检测方法,实验分析表明该方法可以大大提高算法的处理速度。

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