DocumentCode :
692575
Title :
Application of hough transform feature extraction to reduce angular vibration in images captured from moving objects
Author :
Afolabi, David ; Ka Lok Man ; Hai-Ning Liang ; Nan Zhang ; Eng Gee Lim ; Kaiyu Wan
Author_Institution :
Xi´an Jiaotong-Liverpool Univ., Suzhou, China
fYear :
2013
fDate :
17-19 Nov. 2013
Firstpage :
267
Lastpage :
269
Abstract :
This paper details an ongoing research aimed at developing computational approach to reducing/eliminating vibration and light glare in images captured by digital cameras especially when the scene contains moving objects or the camera is mounted on a moving vehicle/flying drone. The algorithms developed are focused at real-time image acquisition where the enhanced/corrected images are need almost immediately after they are captured. The results show that these methods of reducing the stated problems are effective and it can be further developed for various applications.
Keywords :
Hough transforms; cameras; feature extraction; image enhancement; Hough transform feature extraction; angular vibration reduction; computational approach; corrected images; digital cameras; enhanced images; light glare; moving objects; moving vehicle-flying drone; real-time image acquisition; Cameras; Image color analysis; Image sensors; Real-time systems; Reflection; Transforms; Vibrations; Hough transform; glare redution; image sensor; moving targets; vibration reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SoC Design Conference (ISOCC), 2013 International
Conference_Location :
Busan
Type :
conf
DOI :
10.1109/ISOCC.2013.6864024
Filename :
6864024
Link To Document :
بازگشت