Identification of image angle using projective transformation

Application to banana images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages408-413
Number of pages6
ISBN (Electronic)9781479920280
Publication statusPublished - 23 Jul 2014
Event2014 IEEE Region 10 Symposium, IEEE TENSYMP 2014 - Kuala Lumpur, Malaysia
Duration: 14 Apr 201416 Apr 2014

Other

Other2014 IEEE Region 10 Symposium, IEEE TENSYMP 2014
CountryMalaysia
CityKuala Lumpur
Period14/04/1416/04/14

Fingerprint

Image registration
MATLAB
Pixels
Cameras

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

Cite this

Ahmad Mustafa, N. B., Bakri, F., & Khaleel Ahmed, S. (2014). Identification of image angle using projective transformation: Application to banana images. In IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium (pp. 408-413). [6863067] Institute of Electrical and Electronics Engineers Inc..
Ahmad Mustafa, Nur Badariah ; Bakri, Fathinah ; Khaleel Ahmed, Syed. / Identification of image angle using projective transformation : Application to banana images. IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 408-413
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Ahmad Mustafa, NB, Bakri, F & Khaleel Ahmed, S 2014, Identification of image angle using projective transformation: Application to banana images. in IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium., 6863067, Institute of Electrical and Electronics Engineers Inc., pp. 408-413, 2014 IEEE Region 10 Symposium, IEEE TENSYMP 2014, Kuala Lumpur, Malaysia, 14/04/14.

Identification of image angle using projective transformation : Application to banana images. / Ahmad Mustafa, Nur Badariah; Bakri, Fathinah; Khaleel Ahmed, Syed.

IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium. Institute of Electrical and Electronics Engineers Inc., 2014. p. 408-413 6863067.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Ahmad Mustafa NB, Bakri F, Khaleel Ahmed S. Identification of image angle using projective transformation: Application to banana images. In IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium. Institute of Electrical and Electronics Engineers Inc. 2014. p. 408-413. 6863067