基于 FPGA 的 Kirsch 算法实时图像处理研究

摘要

随着图像数据量愈发庞大，相较于传统图像处理方法采用 FPGA 进行图像处理更具有明显优势．Kirsch算法具有检测边缘信息多、抗噪效果较好等优点．设计选用 FPGA 来实现 Kirsch 算法，同时将处理后的图像再次结合形态学处理．结果表明，本设计能够更好地提取边缘信息、增强抗噪声能力，而且实时性较好，具有较高的实用价值．%With the increasingly huge amount of image data,the effect of using FPGA for real-time image processing is more obvious than conventional approach.Kirsch algorithm has the following advan-tages:more edge detection information,better anti-noise capability,etc.Therefore,FPGA is chosen to re-alize Kirsch algorithm and then the processed image would be reprocessed by using morphology.Finally, a conclusion is reached that the design is better to extract the edge information,enhance the ability to e-liminate noise,and has good real-time performance and high practical value.