Algorithm to Image Identification and Artix-7 FPGA Implementation for Adequate Edge Detection

Algorithm to Image Identification and Artix-7 FPGA Implementation for Adequate Edge Detection

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 ima...

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Veröffentlicht in:International journal of recent technology and engineering 2020-01, Vol.8 (5), p.1656-1660
Hauptverfasser: Vamsi K, H K Raghu, Geethanjali, Kasi, Kumar, Chintagada Naveen, Babu, P Sekhar, Kumar Y, L V Santosh
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container_issue 5
container_start_page 1656
container_title International journal of recent technology and engineering
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creator Vamsi K, H K Raghu
Geethanjali, Kasi
Kumar, Chintagada Naveen
Babu, P Sekhar
Kumar Y, L V Santosh
description 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.
doi_str_mv 10.35940/ijrte.E6185.018520
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