Abstract
Edge detection is the basic computation in image segmentation, feature extraction and image matching. Most of the existing detection algorithms extract edges through a convolution operation in the spatial domain, which may loose the overall characteristics of the image and make the resulted edges uncompleted and unbalanced. In this paper we proposed a novel edge detection algorithm using the FFT procedure. A simple edge model and a systemic extraction steps are described. In the experiments, we compared the edges extracted by our method with those by three classical algorithms of Sobel, Prewitt and Roberts, where we use Canny’s results as benchmarks. The experiments illustrate that edges produced by our algorithm are accurate, complete and balanced.
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Acknowledgments
This work was supported by Natural Science Foundation of China (61272240,60970047, 61103151), the Doctoral Fund of Ministry of Education of China (20110131110028) and the Natural Science foundation of Shandong province (ZR2012FM037).
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Yang, T., Ma, J., Huang, S., Zhao, Q. (2014). A New Edge Detection Algorithm Using FFT Procedure. In: Farag, A., Yang, J., Jiao, F. (eds) Proceedings of the 3rd International Conference on Multimedia Technology (ICMT 2013). Lecture Notes in Electrical Engineering, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41407-7_29
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DOI: https://doi.org/10.1007/978-3-642-41407-7_29
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