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Design of english video learning platform based on FPGA system and sobel algorithm
Microprocessors and Microsystems ( IF 2.6 ) Pub Date : 2021-01-13 , DOI: 10.1016/j.micpro.2021.103992
Tingting Liu , Xiang Li

In order to improve the system performance of image processing and improve the efficiency of image processing, we can use some hardware running image processing algorithms. in practice, we introduce some reconfigurable devices and more advanced programming languages to use FPGA for image processing. following will briefly introduce the design of FPGA in the edge detection system.The design has integrated a 32-bit soft RISC processor as dedicated hardware peripheral micro development and EDK embedded system developed by the system generator. Input is detected from a real-time image obtained from the CMOS camera displayed on the DVI display on the screen.



中文翻译:

基于FPGA系统和sobel算法的英语视频学习平台设计

为了提高图像处理的系统性能并提高图像处理效率,我们可以使用一些运行图像处理算法的硬件。实际上,我们介绍了一些可重新配置的设备和更高级的编程语言,以使用FPGA进行图像处理。以下将简要介绍边缘检测系统中的FPGA设计。该设计集成了32位软RISC处理器,作为专用的硬件外围微开发和由系统生成器开发的EDK嵌入式系统。从屏幕上DVI显示屏上显示的CMOS摄像机获得的实时图像中检测到输入。

更新日期:2021-01-20
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