A Real-Time Noise Image Edge Detector Based on FPGA

摘要：

　　This paper describes a real-time noisy image edge detector to remove the noise which will bring negative effects on extraction and detection of image features.The average filtering algorithm is used to eliminate the noise of the original image and the Sobel edge detection operator is used to obtain image data.Both of the operation completes the functions including image acquisition and processing.Feasible verification of the edge detector is implemented in Altera EP3C55 using Veriiog HDL language.Experimental results show that the edge detector is adaptive to the environment and can extract the noisy image edge effectively and promptly.

关键词： average filtering edge detecting noisy image Sobel FPGA dual threshold

作者: Meihua Xu Chenjun Xia Shuping Huang

作者单位: Microelectronic Research and Development Center, Shanghai University, Shanghai, China School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 420-427

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）