Open AccessAlgorithm to Image Identification and Artix-7 FPGA Implementation for Adequate Edge Detection.
Author(s) -
Harish Kumar K,
K. Geethanjali,
Chiranjeev Kumar,
P. Sekhar Babu,
L V Santosh Kumar Y
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6185.018520
Subject(s) - field programmable gate array , edge detection , computer science , matlab , enhanced data rates for gsm evolution , canny edge detector , image processing , noise (video) , artificial intelligence , image (mathematics) , identification (biology) , computer vision , deriche edge detector , process (computing) , computer hardware , botany , biology , operating system
For any image identification based applications, edge detection is the primary step. The intention of the edge detection in image processing is to minimize the information that is not required in the analysis of identification of an image. In the process of reduction of insignificant data in the image, it may lead to some loss in information which in turn raise some problems like missing of boundaries with low contrast, false edge detection and some other noise affected problems. In order to reduce the effects due to noise, a modified version of popular edge detection algorithm “Canny edge detection algorithm” is proposed. Artix 7 FPGA board set up is used to implement, by using Xilinx platform the image that is obtained as output is displayed on monitor which is connected with FPGA board using connector port DVI. MATLAB Simulink is used for algorithm simulation and then it is executed on FPGA board using Xilinx platform. The results provide good motivation to use in different edge detection applications.