Adaptive Edge-Detection Implementation for Video Processing Based on DM642

This article introduces the implementation of an adaptive edge-detection filter on a DSP (dm642) using a combination of hardware and software components, which can detect textural features of digital image, makes it non-linear enhancement and suppresses the noise to a certain extent. As a benchmark, preliminary results are presented for this system and evaluated with respect to the different edge detector. And how to use the advantages of the DM642 processor to improve the efficiency of edge-detection is mainly discussed in this article. In order to improve the performance of edge-detection algorithm on DM642, a series of rapid image processing algorithms are optimized and proposed. The emphasis of the experiments is put on the feasibility of distributed high-performance processing from both hardware and software aspects, which may be easily applied to other larger scale or more hard real-time intelligent information processing. Experiments show that it can detect edges with high accuracy, more details and fine distinction.