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.

Field Programmable Gate Array Applications—A Scientometric Review

“…Edge detection aims to identify points in an image at which the brightens or other image characteristics changes sharply. FPGAs' implementations for edge detection cover implementations based in Sobel operator [685][686][687][688][689], Canny algorithm [690][691][692], applications for real time processing [693][694][695][696][697], image segmentation [698,699], DNA (Desoxyribonucleic Acid) microarray image processing [700,701] and object detection [702][703][704]. Digital watermarking is the act of hiding information in multimedia data, such as image, video or audio, for content protection or authentication [705].…”