Efficient Edge Detection based on Multi-scale Gabor Filters

Spatially scaled edges are ubiquitous in natural images. Therefore, to better detect edge with different scales, we propose an edge detection algorithm based on multi-scale Gabor filters. First, the imaginary parts of the Gabor filters (IPGFs) with five scales and eight directions are constructed. Second, the input image is filtered by IPGFs to extract edge features.Then, dimensionality reduction is performed by using pca. Finally, image fusion and double threshold method are used to preserve the edge continuity. Furthermore, we test our method on widely used images. The proposed detector is compared with other detectors. The experiment results illustrate that the algorithm can detect more image details while ensuring the accuracy of detectio

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