Automatic Test Methods for Image and Video Verification
(2013) In Master's theses in Mathematical Sciences FMA820 20131Mathematics (Faculty of Engineering)
- Abstract
- In this thesis four methods for automatic verification of images and video on mobile platforms are developed. Both the case of recording images and video and the case of viewing images and video on the mobile lcd screen are considered. The first method is used to test the zoom function of the camera. It uses SURF decriptors along with clustering and histograms to determine which of six discrete zoom levels the current frame belongs to. The second method identifies color effects and color anomalies using histograms. The third method determines if the autofocus works correctly by measuring the average length of edges in the image. The fourth method is an artifact detection scheme using a non-reference implementation of the SSIM metric, used... (More)
- In this thesis four methods for automatic verification of images and video on mobile platforms are developed. Both the case of recording images and video and the case of viewing images and video on the mobile lcd screen are considered. The first method is used to test the zoom function of the camera. It uses SURF decriptors along with clustering and histograms to determine which of six discrete zoom levels the current frame belongs to. The second method identifies color effects and color anomalies using histograms. The third method determines if the autofocus works correctly by measuring the average length of edges in the image. The fourth method is an artifact detection scheme using a non-reference implementation of the SSIM metric, used in conjunction with a for this purpose specially designed test setup. Together these methods form a tool kit for detecting the mnost common errors to occur in images and video during the development stage of mobile platforms. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/3803449
- author
- Håkansson, Magnus LU and Rasmuson, Sverker LU
- supervisor
- organization
- course
- FMA820 20131
- year
- 2013
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Image analysis, test methods, verification, video
- publication/series
- Master's theses in Mathematical Sciences
- report number
- LUTFMA-3247-2013
- ISSN
- 1404-6342
- other publication id
- 2013:E28
- language
- English
- id
- 3803449
- date added to LUP
- 2013-09-20 12:19:03
- date last changed
- 2013-09-20 12:19:03
@misc{3803449, abstract = {{In this thesis four methods for automatic verification of images and video on mobile platforms are developed. Both the case of recording images and video and the case of viewing images and video on the mobile lcd screen are considered. The first method is used to test the zoom function of the camera. It uses SURF decriptors along with clustering and histograms to determine which of six discrete zoom levels the current frame belongs to. The second method identifies color effects and color anomalies using histograms. The third method determines if the autofocus works correctly by measuring the average length of edges in the image. The fourth method is an artifact detection scheme using a non-reference implementation of the SSIM metric, used in conjunction with a for this purpose specially designed test setup. Together these methods form a tool kit for detecting the mnost common errors to occur in images and video during the development stage of mobile platforms.}}, author = {{Håkansson, Magnus and Rasmuson, Sverker}}, issn = {{1404-6342}}, language = {{eng}}, note = {{Student Paper}}, series = {{Master's theses in Mathematical Sciences}}, title = {{Automatic Test Methods for Image and Video Verification}}, year = {{2013}}, }