Algorithm to Image Identification and Artix-7 FPGA Implementation for Adequate Edge Detection
H K Raghu Vamsi K1, Kasi Geethanjali2, Chinthagada Naveen Kumar3, P Sekhar Babu4, L.V. Santosh kumar Y5
1H K Raghu Vamsi K *, Department ECE, Raghu Engineering College, Autonomous, Visakhapatnam, India. Kasi Geethanjali, Department Department ECE, Raghu Engineering College, Autonomous, Visakhapatnam, India.
2Chintagada Naveen Kumar, Department Department ECE, Raghu Engineering College, Autonomous, Visakhapatnam, India.
3P Sekhar Babu, Department Department ECE, Raghu Engineering College, Autonomous, Visakhapatnam, India.
4L V Santosh Kumar Y, Department Department ECE, Raghu Engineering College, Autonomous, Visakhapatnam, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1656-1660 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6185018520/2020©BEIESP | DOI: 10.35940/ijrte.E6185.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Canny Edge Detection Algorithm, FPGA Board Model Artix 7, Xilinx Platform, VGA Monitors, DVI Connector.
Scope of the Article: Parallel and Distributed Algorithms.