Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study

Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study

Real-time image processing is related with typical frame rate that required processing all the frames as soon as the image is captured. Fast processing time is required for edge detection since it is needed to be carry out in a real time. This paper proposes a real-time edge detection technique for...

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发表在:2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 - Proceeding
主要作者: 2-s2.0-85063500973
格式: Conference paper
语言:English
出版: Institute of Electrical and Electronics Engineers Inc. 2018
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063500973&doi=10.1109%2fICSGRC.2018.8657603&partnerID=40&md5=a491bc12d6d19792cf152f46c726d12f
id Yusoff N.M.; Abdul Halim I.S.; Abdullah N.E.; Ab Rahim A.A.
spelling Yusoff N.M.; Abdul Halim I.S.; Abdullah N.E.; Ab Rahim A.A.
2-s2.0-85063500973
Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
2018
2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 - Proceeding


10.1109/ICSGRC.2018.8657603
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063500973&doi=10.1109%2fICSGRC.2018.8657603&partnerID=40&md5=a491bc12d6d19792cf152f46c726d12f
Real-time image processing is related with typical frame rate that required processing all the frames as soon as the image is captured. Fast processing time is required for edge detection since it is needed to be carry out in a real time. This paper proposes a real-time edge detection technique for identifying Hevea leaves diseases (rubber tree leaves) in images and its hardware implementation. Three major Hevea leaves diseases which are Corynespora Leaf Spot, Bird's Eye Leaf Spot and Collectotrichum Leaf Disease used in this study for image comparison. The disease on the leaves can be detected through edge detection by using Sobel edge detection algorithm. The realtime edge detection result generated by FPGA Cyclone IV E which is displayed through a monitor is compared to Sobel edge detection algorithm that is generated with MATLAB. The algorithm has been implemented on FPGA and the image results on the VGA monitor are similar as the simulation on the MATLAB. © 2018 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author 2-s2.0-85063500973
spellingShingle 2-s2.0-85063500973
Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
author_facet 2-s2.0-85063500973
author_sort 2-s2.0-85063500973
title Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
title_short Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
title_full Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
title_fullStr Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
title_full_unstemmed Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
title_sort Real-time hevea leaves diseases identification using sobel edge algorithm on FPGA: A preliminary study
publishDate 2018
container_title 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 - Proceeding
container_volume
container_issue
doi_str_mv 10.1109/ICSGRC.2018.8657603
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063500973&doi=10.1109%2fICSGRC.2018.8657603&partnerID=40&md5=a491bc12d6d19792cf152f46c726d12f
description Real-time image processing is related with typical frame rate that required processing all the frames as soon as the image is captured. Fast processing time is required for edge detection since it is needed to be carry out in a real time. This paper proposes a real-time edge detection technique for identifying Hevea leaves diseases (rubber tree leaves) in images and its hardware implementation. Three major Hevea leaves diseases which are Corynespora Leaf Spot, Bird's Eye Leaf Spot and Collectotrichum Leaf Disease used in this study for image comparison. The disease on the leaves can be detected through edge detection by using Sobel edge detection algorithm. The realtime edge detection result generated by FPGA Cyclone IV E which is displayed through a monitor is compared to Sobel edge detection algorithm that is generated with MATLAB. The algorithm has been implemented on FPGA and the image results on the VGA monitor are similar as the simulation on the MATLAB. © 2018 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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