TECHNOLOGY REALIZATION OF CANNY EDGE DETECTION ALGORITHM USING FPGA
S. R. Dixit, A. Y. Deshmukh, G. H. Raisoni · 2015
Edge detection is basic operation of image in digital image processing and it is to be detected edges of an image. Various methods are used for image edge detection like Sobel, Log Operator, Laplacian, prewitt, Canny etc. However other edge detection methods perform poor as compared to the Canny edge detection algorithm. This edge detection can be used to detect the disease like Tonsilities. Therefore in this paper we have proposed a canny edge detection algorithm which is based on VHDL. Generally images are affected by various types of noise; to reduce the effect of such noise we have used Gaussian filtering. It also performs image smoothing. The aim of this paper is to develop a Canny Edge Detection by using XILINX System Generator (XSG) which automatically detects edges of digital image. By using this architecture we can detect the disease and can comment that weather the patient is affected by disease or not. The complete architecture is to be designed by using Xilinx Blocksets. The complete architecture design combines MATLAB, Simulink and XSG. The VHDL code is to be generated by using Xilinx system generator (XSG) and this generated VHDL code is to be synthesized in Xilinx ISE Design Suit 13.1.