sobel算子图像边缘检测研究外文翻译.doc

Real-time FPGA Based Implementation of Color Image Edge Detection Abstract?Color Image edge detection is very basic and important step for many applications such as image segmentation, image analysis, facial analysis, objects identifications/tracking and many others. The main challenge for real-time implementation of color image edge detection is because of high volume of data to be processed (3 times as compared to gray images). This paper describes the real-time implementation of Sobel operator based color image edge detection using FPGA. Sobel operator is chosen for edge detection due to its property to counteract the noise sensitivity of the simple gradient operator. In order to achieve real-time performance, a parallel architecture is designed, which uses three processing elements to compute edge maps of R, G, and B color components. The architecture is codedusing VHDL, simulated in ModelSim, synthesized using Xilinx ISE 10.1 and implemented on Xilinx ML510 (Virtex-5 FX130T) FPGA platform. The complete system is working at 27 MHz clock frequency. The measured performance of our system for standard PAL (720x576) size images is 50 fps (frames per second) and CIF (352x288) size images is 200 fps. Index Terms?Real-time Color Image Edge Detection, Sobel Operator, FPGA Implementation, VLSI Architecture, Color Edge Detection Processor I. INTRODUCTION High speed industrial applications require very accurate and real-time edge detection. Edge detection in gray images does not give very accurate results due to loss of color information during color to gray scale image conversion. Therefore, to achieve desired accuracy, detection of edges in color images is necessary. The main challenge for real-time implementation of color image edge detection is in processing of high volume of data (3 times as compared to gray images) within real-time constraints. Therefore, it is hard to achieve real-time performance of edge detection for PAL sizes color images with