Abstract
This paper describes a real-time noisy image edge detector to remove the noise which will bring negative effects on extraction and detection of image features. The average filtering algorithm is used to eliminate the noise of the original image and the Sobel edge detection operator is used to obtain image data. Both of the operation completes the functions including image acquisition and processing. Feasible verification of the edge detector is implemented in Altera EP3C55 using Verilog HDL language. Experimental results show that the edge detector is adaptive to the environment and can extract the noisy image edge effectively and promptly.
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Xu, M., Xia, C., Huang, S. (2013). A Real-Time Noise Image Edge Detector Based on FPGA. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_50
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DOI: https://doi.org/10.1007/978-3-642-38715-9_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38714-2
Online ISBN: 978-3-642-38715-9
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