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.
Format: Conference Paper
Language:English
Published: 2017
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spelling my.uniten.dspace-50092017-11-14T04:32:39Z Identification of image angle using projective transformation: Application to banana images Mustafa, N.B.A. Bakri, F. Ahmed, S.K. 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. 2017-11-14T03:21:16Z 2017-11-14T03:21:16Z 2014 Conference Paper https://www.scopus.com en IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium 23 July 2014, Article number 6863067, Pages 408-413
institution Universiti Tenaga Nasional
building UNITEN Library
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continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
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language English
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.
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_facet Mustafa, N.B.A.
Bakri, F.
Ahmed, S.K.
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
publishDate 2017
_version_ 1644493589115305984
score 13.214268