Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition

Nowadays, with the huge number of leaves data, plant species recognition process becomes computationally expensive. Many computer scientists have suggested that the usage of parallel and distributed computing should be strongly considered as mandatory for handling computationally intensive programs....

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Main Authors:	Ahmad Fakhri, Ab. Nasir, Ahmad Shahrizan, Abdul Ghani, M. Nordin, A. Rahman
Format:	Book Section
Language:	English English
Published:	Springer Singapore 2018
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/21748/ http://umpir.ump.edu.my/id/eprint/21748/ http://umpir.ump.edu.my/id/eprint/21748/ http://umpir.ump.edu.my/id/eprint/21748/1/book52%20Parallel%20guided%20image%20processing%20model%20for%20ficus%20deltoidea%20%28Jack%29%20moraceae%20varietal%20recognition.pdf http://umpir.ump.edu.my/id/eprint/21748/2/book52.1%20Parallel%20guided%20image%20processing%20model%20for%20ficus%20deltoidea%20%28Jack%29%20moraceae%20varietal%20recognition.pdf

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spelling	ump-217482018-08-06T03:01:15Z http://umpir.ump.edu.my/id/eprint/21748/ Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani M. Nordin, A. Rahman TS Manufactures Nowadays, with the huge number of leaves data, plant species recognition process becomes computationally expensive. Many computer scientists have suggested that the usage of parallel and distributed computing should be strongly considered as mandatory for handling computationally intensive programs. The availability of high performance multi-cores architecture results the complex recognition system to become popular in parallel computing area. This paper emphasizes on the computational flow design to enable the execution of the complex image processing tasks for Ficus deltoidea varietal recognition to be processed on parallel computing environment. Multi-cores computer is used whereas one of them acts as a master processor of the process and the other remaining processors act as worker processors. The master processor responsibles for controlling the main system operations such as data partitioning, data allocation, and data merging which results from worker processors. Experiments showed that a multi-cores parallel environment is a very appropriate platform for pipeline image processing. From the results, the sequential complex image processing model and computational flow design are significantly improved when executed through parallel model under multi-cores computer system. As the number of cores increases, the computational time taken by the parallel algorithm becomes less. Springer Singapore 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21748/1/book52%20Parallel%20guided%20image%20processing%20model%20for%20ficus%20deltoidea%20%28Jack%29%20moraceae%20varietal%20recognition.pdf pdf en http://umpir.ump.edu.my/id/eprint/21748/2/book52.1%20Parallel%20guided%20image%20processing%20model%20for%20ficus%20deltoidea%20%28Jack%29%20moraceae%20varietal%20recognition.pdf Ahmad Fakhri, Ab. Nasir and Ahmad Shahrizan, Abdul Ghani and M. Nordin, A. Rahman (2018) Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 487-503. ISBN 9789811087875 https://doi.org/10.1007/978-981-10-8788-2_44 DOI: 10.1007/978-981-10-8788-2_44
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TS Manufactures
spellingShingle	TS Manufactures Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani M. Nordin, A. Rahman Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition
description	Nowadays, with the huge number of leaves data, plant species recognition process becomes computationally expensive. Many computer scientists have suggested that the usage of parallel and distributed computing should be strongly considered as mandatory for handling computationally intensive programs. The availability of high performance multi-cores architecture results the complex recognition system to become popular in parallel computing area. This paper emphasizes on the computational flow design to enable the execution of the complex image processing tasks for Ficus deltoidea varietal recognition to be processed on parallel computing environment. Multi-cores computer is used whereas one of them acts as a master processor of the process and the other remaining processors act as worker processors. The master processor responsibles for controlling the main system operations such as data partitioning, data allocation, and data merging which results from worker processors. Experiments showed that a multi-cores parallel environment is a very appropriate platform for pipeline image processing. From the results, the sequential complex image processing model and computational flow design are significantly improved when executed through parallel model under multi-cores computer system. As the number of cores increases, the computational time taken by the parallel algorithm becomes less.
format	Book Section
author	Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani M. Nordin, A. Rahman
author_facet	Ahmad Fakhri, Ab. Nasir Ahmad Shahrizan, Abdul Ghani M. Nordin, A. Rahman
author_sort	Ahmad Fakhri, Ab. Nasir
title	Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition
title_short	Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition
title_full	Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition
title_fullStr	Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition
title_full_unstemmed	Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition
title_sort	parallel guided image processing model for ficus deltoidea (jack) moraceae varietal recognition
publisher	Springer Singapore
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21748/ http://umpir.ump.edu.my/id/eprint/21748/ http://umpir.ump.edu.my/id/eprint/21748/ http://umpir.ump.edu.my/id/eprint/21748/1/book52%20Parallel%20guided%20image%20processing%20model%20for%20ficus%20deltoidea%20%28Jack%29%20moraceae%20varietal%20recognition.pdf http://umpir.ump.edu.my/id/eprint/21748/2/book52.1%20Parallel%20guided%20image%20processing%20model%20for%20ficus%20deltoidea%20%28Jack%29%20moraceae%20varietal%20recognition.pdf
first_indexed	2023-09-18T22:32:02Z
last_indexed	2023-09-18T22:32:02Z
_version_	1777416350155669504

Parallel guided image processing model for ficus deltoidea (Jack) moraceae varietal recognition

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