Multicolour object detection using multithreading

As image and video processing applications are leaning towards real-time requirement, the program control for the system must be designed efficiently while taking the processing time factor as one of the main considerations. This paper presents the method of detecting multicolour objects and th...

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Main Authors: Saaidon, Nur'Ain, Sediono, Wahju
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://irep.iium.edu.my/42744/
http://irep.iium.edu.my/42744/
http://irep.iium.edu.my/42744/1/42744.pdf
id iium-42744
recordtype eprints
spelling iium-427442018-05-21T05:03:00Z http://irep.iium.edu.my/42744/ Multicolour object detection using multithreading Saaidon, Nur'Ain Sediono, Wahju TK7885 Computer engineering As image and video processing applications are leaning towards real-time requirement, the program control for the system must be designed efficiently while taking the processing time factor as one of the main considerations. This paper presents the method of detecting multicolour objects and the processing time comparisons of designed algorithms. Algorithm with multithreading approached is compared to the usual sequential approach of image processing. The number of threads created in multithreading’s algorithm is depending on the number of colours to be detected. Time processing for multicolour object detection using multithreading is shown to be significantly less compared to sequential process as the number of detected colours increases. Multithreading programming method are useful to improve efficiency of the system’s application and take the benefit offered by multicore processor in most of the computer nowadays. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/42744/1/42744.pdf Saaidon, Nur'Ain and Sediono, Wahju (2015) Multicolour object detection using multithreading. In: 2015 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE'15), 12-14 April 2015, Langkawi, Malaysia. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7298326&tag=1
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Saaidon, Nur'Ain
Sediono, Wahju
Multicolour object detection using multithreading
description As image and video processing applications are leaning towards real-time requirement, the program control for the system must be designed efficiently while taking the processing time factor as one of the main considerations. This paper presents the method of detecting multicolour objects and the processing time comparisons of designed algorithms. Algorithm with multithreading approached is compared to the usual sequential approach of image processing. The number of threads created in multithreading’s algorithm is depending on the number of colours to be detected. Time processing for multicolour object detection using multithreading is shown to be significantly less compared to sequential process as the number of detected colours increases. Multithreading programming method are useful to improve efficiency of the system’s application and take the benefit offered by multicore processor in most of the computer nowadays.
format Conference or Workshop Item
author Saaidon, Nur'Ain
Sediono, Wahju
author_facet Saaidon, Nur'Ain
Sediono, Wahju
author_sort Saaidon, Nur'Ain
title Multicolour object detection using multithreading
title_short Multicolour object detection using multithreading
title_full Multicolour object detection using multithreading
title_fullStr Multicolour object detection using multithreading
title_full_unstemmed Multicolour object detection using multithreading
title_sort multicolour object detection using multithreading
publishDate 2015
url http://irep.iium.edu.my/42744/
http://irep.iium.edu.my/42744/
http://irep.iium.edu.my/42744/1/42744.pdf
first_indexed 2023-09-18T21:00:55Z
last_indexed 2023-09-18T21:00:55Z
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