Optimization and Implementation of the Sobel Edge Detection on Davinci Platform

摘要

Sobel is one of the best edge detection algorithms. However, it often loses some textural information when complex image is processed. This paper mainly discusses how to improve the shortcomings of Sobel and optimize the filtering, templates, and noise algorithms for edge detection. Beside the optimization, the paper presents the implementation of edge detection on Davinci platform. The algorithm code has been optimized which based on the TMS320DM6446 dual-core DSP. Multiplication operations have been split into the shift and add operations through integration algorithm engine which use the DSP's pipelining operations. After the test experiment on Davinci platform, it can work efficiently. This method can not only provide the possibility of the real-time image processing, but also eliminate the impact of noise, and enhance the detection accuracy.