Embedded Realization of a Adaptive Threshold Edge Detection Base on Canny Operator

Cheng Po Mu; Qing Xian Dong; Jie Lian; Ming Song Peng

doi:10.4028/www.scientific.net/AMM.543-547.2766

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Embedded Realization of a Adaptive Threshold Edge...

Embedded Realization of a Adaptive Threshold Edge Detection Base on Canny Operator

Abstract:

Edge detection that is an important means to realize image segmentation has important application significance in image processing, industrial detection, artificial intelligence and the target recognition field. As the demand for real-time and rapidity in image processing, the embedded image processing technology has been widely applied. But the realization of real-time edge detection for image requires a large amount of data processing, limited system resources of embedded system is the main reason of the embedded image processing technology development. In order to shorten time embedded systems edge detection processing large amounts of data, based on adaptive threshold Canny algorithm, this paper as the FPGA data processing DSP chips and made a FPGA + DSP hardware architecture, effectively improve the system real-time, get a good edge detection results.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2766-2769

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2766

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Online since:

March 2014

Authors:

Cheng Po Mu*, Qing Xian Dong, Jie Lian, Ming Song Peng

Keywords:

Adaptive Threshold Algorithm, Canny Algorithm, DSP, Edge Detection, FPGA

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* - Corresponding Author

References

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