Identification of image angle using projective transformation: Application to banana images

This paper presents the determination of the captured image angle and correcting the image distortion using Projective Transformation. A 5-Megapixel camera is used to capture 90 images including one reference image. The images are captured from various angles, distances and directions. An image regi...

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Main Authors: Mustafa N.B.A., Bakri F., Ahmed S.K.
Other Authors: 57191952020
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-218822023-05-16T10:45:52Z Identification of image angle using projective transformation: Application to banana images Mustafa N.B.A. Bakri F. Ahmed S.K. 57191952020 56426968000 25926812900 This paper presents the determination of the captured image angle and correcting the image distortion using Projective Transformation. A 5-Megapixel camera is used to capture 90 images including one reference image. The images are captured from various angles, distances and directions. An image registration technique is applied to align the captured image with the reference image. Projective transformation is one of the approaches used to map the pixel locations from the input image (moving data) to the new locations in an output image by referring to the reference image (fixed data). Trigonometric function (cosine theorem) is then used to calculate the rotation angle of the captured image and image scaling value. Scaling value shows the scale of expansion and contraction of the captured image after applying image registration process. For this project, all manipulations are performed using MATLAB. © 2014 IEEE. Final 2023-05-16T02:45:52Z 2023-05-16T02:45:52Z 2014 Conference Paper 10.1109/tenconspring.2014.6863067 2-s2.0-84911980680 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911980680&doi=10.1109%2ftenconspring.2014.6863067&partnerID=40&md5=4329fb1d579d741380c929070576278c https://irepository.uniten.edu.my/handle/123456789/21882 6863067 408 413 Institute of Electrical and Electronics Engineers Inc. Scopus
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country Malaysia
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description This paper presents the determination of the captured image angle and correcting the image distortion using Projective Transformation. A 5-Megapixel camera is used to capture 90 images including one reference image. The images are captured from various angles, distances and directions. An image registration technique is applied to align the captured image with the reference image. Projective transformation is one of the approaches used to map the pixel locations from the input image (moving data) to the new locations in an output image by referring to the reference image (fixed data). Trigonometric function (cosine theorem) is then used to calculate the rotation angle of the captured image and image scaling value. Scaling value shows the scale of expansion and contraction of the captured image after applying image registration process. For this project, all manipulations are performed using MATLAB. © 2014 IEEE.
author2 57191952020
author_facet 57191952020
Mustafa N.B.A.
Bakri F.
Ahmed S.K.
format Conference Paper
author Mustafa N.B.A.
Bakri F.
Ahmed S.K.
spellingShingle Mustafa N.B.A.
Bakri F.
Ahmed S.K.
Identification of image angle using projective transformation: Application to banana images
author_sort Mustafa N.B.A.
title Identification of image angle using projective transformation: Application to banana images
title_short Identification of image angle using projective transformation: Application to banana images
title_full Identification of image angle using projective transformation: Application to banana images
title_fullStr Identification of image angle using projective transformation: Application to banana images
title_full_unstemmed Identification of image angle using projective transformation: Application to banana images
title_sort identification of image angle using projective transformation: application to banana images
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806426379722424320
score 13.214268